Our Team

THE RIGHT TEAM FOR THE RIGHT JOB

Our fusion of diverse academic and professional backgrounds enables us to offer truly unique approaches that ultimately change the way decisions are made.

Collectively, we offer decades of experience working in and with the defense, academic, and business communities. We are research scientists, engineers, and business specialists, who understand how to perform value-added, groundbreaking work and manage it effectively and efficiently.

We do this by providing a work environment that encourages and rewards bright minds and self-starters who want to make a difference with their work. As a 100% employee-owned company, we place a high value on creativity, collaboration and innovation.

Meet the members of our team...

Management:

Kendra E. Moore, PhD, President and Chief Executive Officer

Richard Salvage, CFA, Chief Financial Officer

Carl Weir, PhD, Director of Cognitive Fusion

Andrew P. Valenti, PhD, Principal Technical Program Manager and Research Programmer

Scientific:

Noam Ben-Asher, PhD, Senior Research Scientist

Bernard Chartier, Principal Research Scientist

Margaret Duff, PhD, Senior Research Scientist

Joel Forman, PhD, PE, Senior Research Scientist

Paul Hemphill, PhD, Staff Research Scientist

Stefan Kell, Staff Research Scientist

Anthony Palladino, PhD, Principal Research Scientist

Nathan Poppelreiter, PhD, Staff Research Scientist

Dylan Snover, Research Scientist

Andrew B. Spisak, PhD, Senior Research Scientist

Lionel Yelibi, Research Scientist

Technical:

Rody Arantes, Senior Research Programmer

Eduardo Barrera, Research Programmer

Ian Boardman, PhD, Senior Research Programmer

Alexander Bock, Research Programmer

Leshya Bracaglia, Research Programmer

Rachel Fromme, Research Programmer

Maximilian Gunther, Research Programmer

Linsu Han, Research Programmer

Marisha Kulseng, Research Programmer

Joseph McLean, IT Administrator

Haley Morgan, Research Programmer

Ethan Pellegrini, Research Programmer

David Thomas, Staff Research Programmer

Administrative:

Alia-Anor Akaeze, Business Operations Administrator and Executive Assistant


Kendra E. Moore, PhD, President and Chief Executive Officer

Kendra loves finding patterns and recurring structures in the world - whether in data, people's activities, business processes, or relationships. Using her pattern recognition insights, she defines frameworks to rapidly model systems, and the models enable data exploitation and timely decision making. As President, she applies that same approach to Boston Fusion, by identifying patterns of opportunities, projects, and personnel, to create a structure where everyone can be at his/her best.

Kendra believes that the most interesting problems are those that require multi- or cross-disciplinary approaches to solve – decomposing complex problems into their constituent parts, fusing multiple types of data, applying different modeling and analysis approaches, and assembling the results into a coherent process or system. And, many, if not all, of these problems involve understanding patterns: in the data, in the problem definitions, in matching approaches to component problems, and in the system composition and deployment. Kendra founded Boston Fusion to bring together the right people to attack these problems and to create an environment in which we can develop novel solutions to support today’s decision makers.

Prior to founding Boston Fusion, Kendra was a program manager for the Defense Advanced Research Projects Agency (DARPA), where she managed a $180 million research portfolio. Before that, she was a consultant and researcher in the private sector.

She earned her PhD and MS degrees in Operations Research from Northeastern University. She also holds MA and BA, magna cum laude, degrees in Philosophy of Religion from Columbia University/Union Theological Seminary and Stephens College, respectively.

Read more about Kendra Moore

During her five and a half years as a DARPA Program Manager (2005-2010), Kendra managed several research programs, including:

Predictive Analysis for Naval Defense Activities (PANDA): automatically learns motion-based patterns and detects deviations, and uses context data to prioritize alerts;

Fast Connectivity for Coalitions and Agents Program (Fast C2AP): detection of instances of user-defined behavior of interest in maritime domain;

Graph Understanding and Analysis for Rapid Discovery – Deployed on the Ground (GUARD DOG): large-scale network analysis on HUMINT data;

Resilient Command and Control (RC2): technology to manage military C2 systems in the face of failures and attacks to assure that they can continue to support the operational missions;

Several studies exploring adaptive machine learning, strategic collaboration, and command and control and multiple Small Business Innovative Research (SBIR) projects.

Prior to joining DARPA, Kendra was President and Founder of Advestan, Inc., where she provided R&D consulting services to DoD customers and contractors in advanced estimation, analysis, and exploitation for large-scale information fusion applications. Before that, she was Director of Information Fusion at ALPHATECH, Inc., where she was responsible for new business development, project management, and personnel management. She led the development of ultra-large scale data mining algorithms and supporting database technologies to detect, track, and provide warning of threat activities.

Kendra is a recipient of the Defense Medal for Exceptional Public Service (2010), DARPA Award for Outstanding Accomplishments in a Systems Technology Area (2008), and was recognized by Department of Defense as a Science, Technology, Engineering and Mathematics (STEM) Role Model (2006).

Selected publications:

  1. Moore, K.E., “Elusive Path to Autonomy: Why Can't AxVs Tie Their Own Shoes?”, National Symposium on Sensor and Data Fusion (NSSDF 2012), 24 Oct 2012. (Invited Talk)

  2. Moore, K.E., “Heraclitus and the Challenge of Network Extraction, Discovery, and Analysis (NEDA): Why You Cannot Step Twice Into the Same Data Stream”, AFCEA Technology Visions for Network Extraction, Discovery and Analysis (NEDA) Workshop, 21 Sep 2011. (Invited Talk)

  3. Moore, K.E., “Future directions in knowledge discovery from distributed sensor data”, Second International Workshop on Knowledge Discovery from Sensor Data (Sensor-KDD 2008), ACM SIGKDD International Conference of Knowledge Discovery and Data Mining, Las Vegas, NV, August 2008. (Invited Talk)

  4. Moore, K.E., “Patterns, patterns everywhere…”, Proceedings of DARPATech 2007, Anaheim, CA, August 2007.

  5. Moore, K.E., “Pirates, patterns, and other passions”, Proceedings of DARPATech 2005, Anaheim, CA, August 2005, pp. 102-105.

  6. Pioch, N., Hunter, D., Jones, E., Washburn, B., Bostwick, D., Kao, A., Graham, S., Fournelle, C., Allen, T., Dunn, M., and Moore, K., “CADRE: Continuous Analysis and Discovery from Relational Evidence”, Proceedings of the International Conference on Integration of Knowledge Intensive Multi-Agent System, 2003 (KIMAS’03), pp. 555-561.

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Richard Salvage, CFA, Chief Financial Officer

Rich is responsible for the overall Financial Management, Contracts Management, and Office Administration at Boston Fusion. Rich has over 15 years of progressive experience in contracts and accounting positions, and brings a broad range of knowledge in these areas including negotiating and administering government contracts, a strong understanding of the Federal Acquisition Regulations (FAR), and accounting and financial management skills. Rich oversees all of Boston Fusion’s financial and accounting functions including: general cost accounting, budgeting, tax planning and reporting, cash management, and ensuring the company accounting procedures conform to Generally Accepted Accounting Principles. In addition, he interfaces with the company’s Certified Public Accountants (CPAs), the Defense Contract Audit Agency (DCAA), and the company’s bankers and insurance brokers.

Rich earned a Bachelor’s Degree in Finance from the University of Massachusetts, and a Master’s Degree in Business Administration (MBA) from Babson College. He is also a Chartered Financial Analyst (CFA).

Read more about Richard Salvage

Prior to joining Boston Fusion, Rich spent twelve years at Aptima, Inc., a small defense contractor. In his final position there as Controller, he was responsible for managing all of Aptima’s accounting and finance functions. Rich also worked at State Street Bank as a Senior Accountant, where he provided accounting services to a variety of clients within the Financial Services industry.

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Carl Weir, PhD, Director of Cognitive Fusion

Carl has been involved in advanced research and development for his entire 30-year career. At Boston Fusion, he serves as the program manager on multiple advanced research projects, including programs in cyber-defense and data analytics.

He has a technical background in automated decision support, data analytics, advanced computing technologies, and autonomous systems, and he has experience working with both defense and intelligence community customers.

Carl earned his PhD and MA degrees in Linguistics, specializing in model-theoretic semantics, from the University of Texas at Austin. His BA in Linguistics is from the University of Houston, where he graduated summa cum laude.

Read more about Carl Weir

Prior to joining Boston Fusion, Carl worked for Lockheed Martin as a principal research scientist and senior program manager. In the Advanced Technology Office of Lockheed Martin’s Information Systems and Global Solutions (IS&GS) business unit, he was responsible for all contract research and development (CRAD) activity, managing contracts with DARPA, IARPA, the Intelligence Community, and the DoD service labs. In this position he worked in technology areas as diverse as C4ISR, cyber defense, neuromorphic architectures, and quantum computing, and gained experience managing large groups of research scientists and software developers.

While at Lockheed Martin, Carl led a research initiative under IARPA’s ICArUS program to develop a high fidelity spiking neural network model of human brain function for studying cognitive biases. He also led a large systems integration effort under DARPA’s ULTRA-Vis program to develop a capability for special ops squads to collaborate in GPS-denied environments using an advanced heads-up display (HUD).

In earlier research and development activities, Carl participated in software development efforts for text extraction systems, document retrieval systems, document image understanding systems, NLP-based human interfaces, and machine translation systems. He led the Lockheed Martin team that developed AeroText, a commercial data-mining product that extracts textual references to entities and events.

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Andrew P. Valenti, PhD, Principal Technical Program Manager and Research Programmer

Andy has been fortunate to observe the evolution of the IT industry from providing computers that were not much more than calculators and electronic typewriters, to the growth of enterprise-wide processing systems, to ubiquitous personal digital assistants. He believes that the next wave of computing will not be to replace human thinking, but to augment and accelerate human learning.

Andy has 40+ years of experience in software development, product marketing, product management and leading technical projects in the financial services, health care, higher education, and high-technology industries.

Andy earned his PhD in Computer Science and Cognitive Science at Tufts University and his M.S. and B.A. degrees in Computer Science from New York University.

Read more about Andrew Valenti

Andy’s research included developing a social robot to assist persons living with Parkinson’s disease to express their emotions and manage their self-care. Andy’s research interests include sentiment analysis in conversational speech, biologically plausible models of language processing, and the cognitive processes of bilingualism.

Prior to joining Boston Fusion, Andy led the transition to a new learning management system at Tufts University and later managed the adoption of a new research administration system. Prior to Tufts, Andy was on the adjunct faculty of Northeastern University and regularly taught courses on a variety of project management subjects. As the founder and principal consultant at Valenti Partners, Andy provided cost effective project management solutions and insightful market research to Fortune-500 companies in the Boston and New York markets.

When not bit-wrangling, Andy might be found studying blues guitar, warbling karaoke tunes, or traveling. Having successfully raised two children, he and his wife are now raising a Bijon-Poodle mix.

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Noam Ben-Asher, PhD, Senior Research Scientist

Noam seeks to improve performance and make technology useful by providing theoretical and applied insights into humans’ interactions with complex and dynamic systems. In this effort, Noam fuses together expertise in human factors engineering, decision science, and cognitive modeling, delivering actionable recommendations and effective interventions.

Before joining Boston Fusion, Noam was a Senior Research Fellow at the Computational and Information Sciences Directorate, U.S. Army Research Laboratory. In this position, Noam applied behavioral studies, game theory, and AI to address current and future challenges in cybersecurity. In the past, Noam was a postdoctoral fellow at the Dynamic Decision-Making Laboratory, Carnegie Mellon University and at IBM Research.

Noam Ben-Asher earned his Ph.D. degree in human-factors engineering from Ben-Gurion University in 2011.

Read more about Noam Ben-Asher

Selected publications:

  • Gutierrez, M., Bosansky, B., Černý, J., Ben-Asher, N., Gonzalez, C., and Kiekintveld, C. (2019). Evaluating Models of Human Behavior in an Adversarial Multi-Armed Bandit Problem. In Proceeding of the 10th International Workshop on Optimization in Multiagent Systems (OptMAS) @AAMAS-19.

  • Ben-Asher, N., and Meyer, J. (2018). The Triad of Risk-related Behavior (TriRB): A three-dimensional model of cyber-risk taking. Journal of the Human Factors and Ergonomics Society. Runner-up for Human Factors Prize for Excellence in Human Factors Research 2017.

  • Cho, JH. and Ben-Asher, N. (2018). Cyber Defense in Breadth: Modeling and Analysis of Integrated Defense Systems. Journal of Defense Modeling and Simulation.

  • Ben-Asher, N., Cho, JH. and Adalı, S. (2018). Adaptive Situational Leadership Framework. In Proceeding of Conference on the 8th Cognitive and Computational Aspects of Situation Management (IEEE CogSIMA) – Best Paper award.

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Bernard Chartier, Principal Research Scientist

Bernard is a Principal Research Scientist at Boston Fusion Corp. His primary responsibilities include research and development for Boston Fusion’s active contracts, including machine learning and AI research, along with generation of research proposals and technical requirements documents.

Prior to joining Boston Fusion, Bernard held data science leadership and delivery roles with ACI Worldwide, and smaller companies acquired by ACI, for 26.5 years. He led the data science team for 19 years, and as Director of Data Science, was responsible for all aspects of ACI’s enterprise-class banking and payments fraud detection model development. This included all stages of model development and delivery, from generation of the business requirements documents, through data validation and preprocessing, feature engineering and preprocessing, iterative model optimization, production model delivery and post-production model support. Models developed by Bernard and members of his team have collectively protected financial institutions from tens of millions of dollars of banking and payment card fraud.

In addition, Bernard was responsible for all machine learning research and development. Research initiatives lead by Bernard included introduction of continuous machine learning capability, automation of a majority of the previously manual model development process and increasing model predictive performance via the introduction of more complex machine learning models capable of modeling the complex, higher dimensional, stochastic and highly class-imbalanced feature spaces which comprise fraud detection. In addition, Bernard held data science and machine learning roadmap and vision responsibilities, maintaining the core 3 year machine learning / data science fraud prevention vision for ACI. Bernard also held significant technical sales support responsibilities, presenting the business value of all aspects of data science and machine learning to executive leadership, risk management and technical audiences, both customer-facing and internal.

Bernard is named on US patent number 8543522B2, 'Automatic rule discovery from large-scale datasets to detect payment card fraud using classifiers'.

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Margaret Duff, PhD, Senior Research Scientist

Margaret has a passion for creating novel technologies that help people improve task performance, make smarter decisions, and better understand the world around them. Her graduate work focused on creating and evaluating interactive mixed-reality therapy systems to increase motor learning after stroke. This work carried over to a postdoctoral fellowship at the Rehabilitation Institute of Chicago, where she explored how the time courses of recovery progress related to therapy dosage frequency. More recently, she worked at the Army Research Laboratory and studied how humans aggregate multi-modal information in their ability to identify everyday sights and sounds, with the intention of using these insights to create advanced artificial intelligence. When not working, Margaret enjoys hiking and camping with her dog, bowling, and playing pub trivia.

Margaret earned a PhD in Biomedical Engineering with a concentration in Arts, Media, and Engineering from Arizona State University and a BS in Biomedical Engineering from Boston University.

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Joel Forman, PhD, PE, Senior Research Scientist

At Boston Fusion, Joel applies his background in engineering, controls systems, and mathematics, to extract actionable information from complex data driven problems. Prior to joining Boston Fusion, Joel spent seven years as a technical consultant focused on risk, safety, quality, and long-term performance of Li-ion battery systems. He also has experience with image processing, hardware design, and custom laboratory testing. In his graduate work he focused on optimal experimental design, which uses information theory to maximize the useful data collected from experiments.

Joel earned his PhD and MSE degrees in Mechanical Engineering from the University of Michigan along with BS degrees in both Mechanical Engineering and Applied Mathematics from the Rochester Institute of Technology. He is a professionally licensed Control Systems Engineer and has an AWS specialty certificate in Machine Learning.

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Paul Hemphill, PhD, Staff Research Scientist

Paul works on a number of problems for Boston Fusion, including risk estimation, social insect modeling, and algorithm development for quantum computing problems.

He is interested in extracting signals from noisy data, model development, and emergent behavior in complex systems, among many other things.

Prior to his work at Boston Fusion, Paul received his PhD in Physics from the University of California at San Diego and completed a postdoc at MIT's Kavli Institute, working in X-ray astrophysics studying accreting neutron stars.

In his spare time he enjoys cooking, playing folk music, reading science fiction novels, and fiddling with computers, organizational systems, and the occasional synthesizer.

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Stefan Kell, Staff Research Scientist

Stefan works with the Boston Fusion team to leverage multidisciplinary techniques and analysis of large datasets to develop novel insights and capabilities. He is interested in applying machine learning in creative ways to tackle challenging problems across a range of diverse fields.

Stefan previously worked for the City of New York, managing and analyzing contract data while also automating collection and reporting procedures. He also taught statistics at Borough of Manhattan Community College.

Stefan earned his M.S. in Physics from the University of Pittsburgh, where he used particle collider data to constrain the parameters of new physics models and investigated methods for improving calculations of scattering processes important for dark matter searches. His past work also included research in numerical analysis and materials science. He earned his undergraduate degree in Mathematics at the State University of New York at Geneseo.

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Anthony Palladino, PhD, Principal Research Scientist

Anthony’s primary research interest is in applying state-of-the-art AI techniques to challenges from social, cultural, and cognitive science. Crucially, he does not oversimplify the “soft sciences,” instead forging collaborations that merge computer scientists and engineers with social scientists, research psychologists, and other domain experts. He has served as principal investigator on socio-cultural modeling projects such as “Big Open Source Social Science” (for ARMY ERDC), “Resilience and Stability in Dense Terrains” (for DARPA), and “Cognitive Adaptation of Management Behavior via Information Observation" (for NAVY ONR). His other interests include systems engineering and AI-based cyber security: for example, he currently leads the integrated product team charged with developing metrics to fairly evaluate technology produced for DARPA’s ACK program.

Anthony joined Boston Fusion after over a decade of research in large-scale physics experiments, where he gained experience in statistical data analysis, multi-source data fusion, Monte Carlo simulation, and large-scale parallel computing. Most recently, he was a research scientist for Boston University, where he focused on measuring fundamental properties of elementary particles, such as lepton universality, at the Paul Scherrer Institute in Switzerland. Prior to that, he worked for the Italian National Institute of Nuclear Physics, where he searched for signs of a hypothetical dark photon in data at the DAΦNE electron-positron collider.

Anthony earned his Ph.D. and M.A. in Physics from the University of Virginia and his B.S. magna cum laude in electrical engineering with minors in mathematics and physics from the University of Connecticut.

Read more about Anthony Palladino

Selected publications:

  1. Anthony Palladino, Elisa J. Bienenstock, Bradley M. West, Jake R. Nelson, and Tony H. Grubesic "Information fusion to estimate resilience of dense urban neighborhoods", Proc. SPIE 11018, Signal Processing, Sensor/Information Fusion, and Target Recognition XXVIII, 110180K (7 May 2019); doi: 10.1117/12.2519304; https://doi.org/10.1117/12.2519304

  2. Anthony Palladino and Christopher J. Thissen. 2018. Cyber Anomaly Detection Using Graph-node Role-dynamics. In DYnamic and Novel Advances in Machine Learning and Intelligent Cyber Security Workshop (DYNAMICS ’18), December 3–4, 2018, San Juan, PR, USA. ACM, New York, NY, USA, 9 pages. https://doi.org/10.1145/3306195.3306198

  3. Anthony Palladino, Elisa J. Bienenstock, Christopher A. George, and Kendra E. Moore "Big open-source social science: capabilities and methodology for automating social science analytics", Proc. SPIE 10653, Next-Generation Analyst VI, 106530D (27 April 2018); doi: 10.1117/12.2306500; https://doi.org/10.1117/12.2306500

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Nathan Poppelreiter, PhD, Staff Research Scientist

Nathan collaborates with the interdisciplinary team at Boston Fusion to develop novel applications of machine learning to sensor fusion and other areas. He enjoys applying his experience with a broad collection of mathematical ideas, theories, and fields to technological and scientific problems, both novel and well-studied.

Nathan earned his B.S. and M.S. in mathematics from Portland State University, and his Ph.D. in mathematics from the University of Nebraska - Lincoln. His doctoral work in mathematical ecology focused on estimating population distributions of stage-structured populations from noisy, partial measurements, where the populations were modeled either linearly or by a Lur’e system and were subject to forcing.

When not working, Nathan enjoys pen-and-paper roleplaying games, revels in nature, and partakes in foods of the region and world. He was a cheesemonger before he was a mathematician.

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Dylan Snover Research Scientist

Dylan’s primary research focus is on the applications of machine learning and signal processing to solve physics-based problems. His current work involves developing novel techniques of object detection and automatic target recognition for unmanned surface/undersea vehicles using sonar data.

After graduating from the University of Colorado at Boulder in 2017, Dylan worked as a geophysicist contractor for the U.S. Bureau of Reclamation before pursuing his master's degree at the University of California San Diego. During his graduate career, Dylan worked in the UCSD NoiseLab where he developed unsupervised machine learning techniques to separate and classify different types of anthropogenic seismic noise signal recorded in an urban environment.

In his free time, Dylan enjoys rock climbing, fishing, skiing, and being outdoors.

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Andrew B. Spisak, PhD, Senior Research Scientist

Andrew has a decade of experience building models and using them to analyze large quantities of data, explore the boundaries of new science and technology, and guide the utilization of limited resources. At Boston Fusion he continues to apply his model-building acumen to transform information into actionable results that inform decision making.

Andrew is a theoretical physicist who earned his PhD from Northeastern University. In his research, he assessed the potential for the discovery of supersymmetry models with realistic dark matter at the LHC, proposing data analysis strategies optimized for overcoming the challenges inherent in identifying the collision events that can be identified with these models. He also received two departmental teaching awards for his work teaching undergraduates.

Prior to starting graduate school, Andrew built techno-economic models for alternative energy infrastructure, identifying promising technologies as well as key drivers of cost and performance for the DOE. Andrew's undergraduate work was conducted at the University of Virginia.

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Lionel Yelibi, Research Scientist

Lionel’s research agenda is focused on the impact of collective behavior in large systems of interacting agents. This, broadly speaking, touches on problems in sociology, economics, biology, physics and more. At Boston Fusion, he’s involved in the development of modern machine learning methods for the simulation of learning agents in evolving environments.

Lionel earned his B.S in Physics at Indiana University, and his M.S in Statistical Sciences at the University of Cape Town (UCT) in South Africa. Prior to joining Boston Fusion, Lionel was a research assistant in the Statistical Finance Group at the University of Cape Town, where he leveraged statistical-physics-based data clustering methods for unsupervised learning in financial markets, seen through the lens of complex adaptive systems.

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Rody Arantes, Senior Research Programmer

Rody researches, conceptualizes and develops cutting edge graphical user interfaces for solutions developed by Boston Fusion’s research scientists. Using the latest technologies and standards for web and application development, he develops user interfaces to showcase our product and expose the capabilities of our software.

Prior to joining Boston Fusion, Rody lived in Montreal, Canada where he attended Concordia University for his Bachelors of Software Engineering and worked extensively in developing websites and applications.

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Eduardo Barrera, Research Programmer

Eduardo works on developing novel solutions to problems in quantum computing and machine learning. Previously, Eduardo was an undergraduate researcher where he worked in condensed matter physics, quantum information, graph theory, and high-energy physics. His favorite pastimes include electrospinning polymers using dangerous solvents, writing graph search algorithms using dangerously efficient code, going to trivia bar nights (minus the drinks), and waiting patiently for The Winds of Winter.

Eduardo graduated from Tufts University with degrees in Engineering Physics and Math.

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Ian Boardman, PhD, Senior Research Programmer

Ian has built a long career path in Boston engaging in a wide variety of novel and high impact science and engineering projects. Working in hospitals, university research labs, high-tech start-ups and global corporations, he has contributed to published scientific research in neurophysiology and cognition, and to applied research and development of long wave infrared detectors, asteroid tracking, artificial hearing, information retrieval, open-set language identification, and speech recognition in multiple languages. Ian is self-trained in various mainstream programming languages and data analysis packages, and has practical experience managing Linux systems and computing grids, developing scientific and engineering databases, building data pipelines and training pattern classification models.

Ian earned a B.S. in Electrical Engineering and a B.A. in Biochemistry and Biophysics from the University of Pennsylvania. He earned a Ph.D. in Cognitive and Neural Systems from Boston University with his thesis on real-time dynamical systems models of recurrent biological neuronal networks supporting human serial order performance in perception and motor control.

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Alexander Bock, Research Programmer

Alex is a research programmer at Boston Fusion. While at Tufts University, Alex supported research projects in robotics, artificial intelligence, natural language processing, and text mining by developing software research tools and running simulations. He looks forward to continuing this type of work with Boston Fusion. When he's not writing (or thinking about) code, Alex can be found reading (books or Wikipedia), cooking, or playing the vibraphone.

Alex earned his B.S. from Tufts University in Computer Science and Biology.

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Leshya Bracaglia, Research Programmer

Leshya is a research programmer at Boston Fusion, where she provides software and engineering support to research programs. In her spare time, she enjoys tending to her houseplants, playing video games, crafting, and exploring Boston.

Leshya earned her BA in Computer Science from New York University in 2020.

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Rachel Fromme, Research Programmer

Rachel is a research programmer at Boston Fusion, where she provides support to research programs focused in machine learning. In her free time, Rachel enjoys cross stitching, playing video games, and teaching her dog new tricks.

Rachel earned her B.S. from Clarkson University and her M.S. in Bioinformatics from NYU's Tandon School of Engineering. During her Master's, she focused on data science in the context of biological applications.

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Maximilian Gunther, Research Programmer

Max is a research programmer at Boston Fusion, where he enjoys taking on challenging problems in mathematics and software engineering. In his free time, Max enjoys Argentine tango dancing, volunteering as an adult leader in the local Boy Scout troop, and playing board and card games.

Max earned his B.S. from the Rochester Institute of Technology in Computer Engineering and Business Management

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Linsu Han, Research programmer

Linsu's work at Boston Fusion combines his expertise in statistics, machine learning, and programming to find solutions for novel research projects. He earned his Bachelor's in math and statistics at Purdue University in 2018 and completed his Master's in Statistics at Columbia University in 2020.

In his free time, Linsu enjoys playing League of Legends competitively, playing the violin, and dancing. His favorite number is 78 and all multiples of 13. He graduated from Purdue and Columbia both with exact cumulative GPAs of 3.90--a multiple of 1.3, half of 7.8.

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MARISHA KULSENG, Research Programmer

Marisha supports the Boston Fusion team as a research programmer. Her primary project at Boston Fusion is providing dev-ops support to a large team charged with deploying DARPA-funded technology to a US Government end user.

Marisha earned her B.A. in Mathematics from the State University of New York at Geneseo. After spending several years working in the optical industry, she returned to school and earned a certificate in Object-Oriented Programming from Bunker Hill Community College.

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Joseph McLean, IT Administrator

Joe is the Linux/IT Administrator as well as general Operations Support. Prior to joining Boston Fusion, Joe worked in Fortune 100 data center operations supporting large frame IBM systems and HP minicomputers for processing supply chain modeling schedules as the Unix Administrator.

Service with the U.S. Air Force is split between USAF Space Command, as a Satellite Communications Technician with Ground Mobile Forces, and DoD DINFOS Public Affairs Technician as a Journalist / Photojournalist

Joe enjoys hunting, fishing, dirt bike / quad riding, and camping. He is a member of the the Holyoke Caledonian Pipe Band, where he plays bagpipes. Joe also does volunteer work teaching STEM to preschool children at Hitchcock Academy in Brimfield, Massachusetts.

Joe earned his MS degree in Computer Software Engineering from Fairfield University, and his BA in Geography from the University of Massachusetts, Amherst, where he specialized in Electrical Engineering, Earth Sciences, and Remote Sensing.

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Haley Morgan, Research Programmer

Haley is a research programmer at Boston Fusion, where she provides software and engineering support to research programs. Prior to joining Boston Fusion, she was an analyst and engineer for a large government contractor, where she worked on design teams for various DoD projects. She spends much of her spare time learning and using programming languages for personal projects. She also enjoys hiking, traveling, skiing, and golfing.

Haley attended Worcester Polytechnic Institute (WPI), where she earned her B.S. in Civil Engineering. She also attended Quinsigamond Community College for Computer Science.

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Ethan Pellegrini, Research Programmer

Ethan is a research programmer at Boston Fusion, where he provides engineering support to their research programs. Prior to joining Boston Fusion, he supported the U.S. Army within the context of ground vehicle robotics and worked as an undergraduate research assistant for University of Michigan-Dearborn. In his personal time, Ethan can be found fishing, baking, reading, or playing video games.

Ethan earned his B.S. in Computer Engineering from the University of Michigan-Dearborn, where he focused on real-time embedded system programming and robotics as a part of his education and extracurriculars.

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David Thomas, Staff Research Programmer

David’s responsibilities at Boston Fusion range from software design and implementation to computational analysis. His previous R & D experience includes work in music informatics, virtual reality, and intelligent game AI design. Prior to Boston Fusion, David worked for the University of Maryland, College Park, where he created virtual reality application prototypes. He has also worked for smaller nonprofits and startups.

David earned his B.S. in Computer Science (with a minor in mathematics) at Rhodes College in Memphis, Tennessee. More recently, he earned an M.S. in technical entrepreneurship and management from the University of Rochester in upstate New York.

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Alia-Anor Akaeze, Business Operations Administrator and Executive Assistant

Anor, an alumna of Columbia University, joined Boston Fusion after a decade raising a family and 11 years as an acquisitions coordinator and accountant at the Healey Library, University of Massachusetts Boston. A self-described “problem-solver,” she brings an efficient and flexible approach to the administrative challenges that bolster the work of our research team. Prior to her years as a full-time soccer mom, Anor worked at The Getty Villa in Malibu, California, supporting the work of the Assistant Director and Chief Curator of the Museum.

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