At Charles River Analytics, Karen provides strategic direction for both our Government Services and Commercial Solutions Divisions. She also leads our efforts in leveraging our significant IP portfolio to develop commercial solutions across government and private industry applications. In her role as Principal Scientist, Karen leads programs focused on autonomy development for unmanned systems, including real-time sensor processing enabling autonomous situation awareness and decision-making, real-time control systems in maritime robotics applications, and human-centered remote supervisory command & control (C2) solutions. Karen’s expertise also spans the simulation of human behavior, at both the individual and organizational levels, and the development of advanced human/computer interfaces (HCIs) for complex C2 systems. Karen is currently a member of the Small Business Technology Council Board and the New England Innovation Alliance. She holds a BEng degree in Mechanical Engineering from Memorial University of Newfoundland, Canada, and an MS degree in Aerospace and Mechanical Engineering from Boston University, where her research focused on robotics and control, specifically biologically-inspired robot locomotion.
As Senior Vice President, Scott is responsible for overseeing the day-to-day R&D and business-development operations of Charles River Analytics’ four technical divisions: Decision Management Systems, Human Effectiveness, Sensor Processing & Networking, and Socio-Cognitive Systems. As a Principal Scientist, Scott researches technologies that help people understand the world and make better decisions. This has led him to work in areas such as real-time agent architectures, affective decision making, ensemble machine learning, human behavior modeling, plan recognition, causal analysis, predictive modeling, believable agents, sensitivity analysis, and mixed-initiative systems. Scott earned a BS in Computer Science from Duke University. He earned his MS and PhD in Computer Science from Carnegie Mellon University.
Don directs the Finance and Administration division at Charles River, responsible for a broad range of functions including finance, contracts, information systems, security, and facilities. He has over twenty years of experience in senior management positions in the government contracting arena. During his career, Don has been integral to the operation and start-up of many key, high visibility government programs including those related to the EPA Superfund, NASA Space Shuttle and International Space Station, and Medicare Fraud Prevention and Detection. Don's areas of expertise are budgeting and forecasting, financial reporting, contract administration, and project management. He received his BS in accounting from Kent State University and his MS in Finance from Boston University. He is a Certified Public Accountant, Certified Management Accountant, and Certified Financial Manager.
Brad leads Charles River's Decision Management Systems Division, which develops and applies a wide range of artificial intelligence (AI) techniques to help people and autonomy make better decisions. These AI techniques include: planning & optimization, data mining, data fusion, machine learning, knowledge representation, probabilistic modeling, and natural language processing. He is primarily interested in creating tools that promote understanding, produce insight, and support better, informed, decisions. This has led him to develop decision-support systems for planning and execution across the domains of air, maritime, space, ground, cyber, and missile defense operations. Brad earned a B.S. in computer science from Binghamton University and a M.A. in computer science from Brandeis University.
Peter leads Charles River’s Human Effectiveness Division, which combines expertise in cognitive systems engineering, user interface design, simulation-based training and analysis, and software development to successfully integrate human operators with complex technologies. Peter also oversees the company’s efforts in healthcare support and training, for preparing and providing decision support to clinical providers and healthcare organizations. Peter’s primary research interests include simulation-based medical training, models of human performance, artificial intelligence, as well as scenario generation and computational narrative, a field which he helped to pioneer almost thirty years ago. He earned a BS in Computer Science and Engineering and a BS in Mathematics from the Massachusetts Institute of Technology, and an MS and a PhD in Computer Science from Carnegie Mellon University.
Mike leads Charles River’s Socio-Cognitive Systems Division, which includes a portfolio of R&D and technology transition efforts that cover socio-cultural modeling, human performance assessment, human sensing, and the development of software to support intelligence analysis and influence operations. Mike works closely with the Principal Investigators and Software Leads within the division to ensure the effective technical development of innovative ideas, from their earliest conceptual stages to their maturation as complete products tailored to user needs. With his leadership, the division addresses a variety of application domains and Government customers (e.g., DARPA, IARPA, SOCOM, OSD, ONR, CERDEC I2WD, ARL, AFRL, AFOSR). He has ten years of experience leading efforts of varying size and scope, achieving collaborative success through partnership with academia, large businesses and other small businesses. He has directly served as a Principal Investigator on efforts in a variety of domains, including support for tactical intelligence collection, and sensor-based human performance assessment. He received his MEng degree from MIT in 2006, researching the construction of social networks from sensor network data with Prof. Samuel Madden, and a BS degree from MIT.
Rich leads Charles River's Sensor Processing and Networking Division, which develops software and integrated systems for use in security and surveillance, automatic target recognition, robot localization, collision avoidance and navigation, multi-sensor fusion, and electronic warfare/signal processing. For over 25 years, Rich has successfully led programs for a wide range of both government and commercial customers, including various agencies within both DHS and DoD, as well as numerous international clients. His current product-area focus includes expanding the company’s offerings in video analytics and robotics/unmanned systems. Before joining Charles River, Rich served as Director of Custom Products at American Science and Engineering, where he led development of innovative X-ray based detection systems geared to combating terrorism and trade fraud. Earlier, he served as Director of Asia Pacific R&D for Comverse Network Systems, a global provider of enhanced telecommunications services platforms, and as Program Manager at GE Aerospace. Rich holds a BS in Electrical Engineering from Worcester Polytechnic Institute and an MBA in Entrepreneurship from Babson College.
Sam leads process and infrastructure improvement across the organization, focusing on maximizing the value Charles River provides to customers while increasing efficiency. He also provides prescriptive and predictive business intelligence analytics pertaining to sales operations, business capture, and project execution; providing consultation to internal organizations with strategic, operational, and tactical guidance on business processes and systems. In addition, Sam oversees Charles River's Operations Support Services (OSS) group, which provides marketing, capture, and project execution services to the scientists, engineers, and management within the corporation. His area of expertise is centered in Systems Engineering principles applied to advanced research and development of data centric intelligent systems. Since 2003, he has led research and development projects, with a particular emphasis on program management in recent years. He received his B.S. in Computer Science from Stonehill College.