Bryan Loyall
Director Technology Innovation and Principal Scientist @Charles River Analytics
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WORK HISTORY
Director Technology Innovation and Principal Scientist @Charles River Analytics
Cambridge, MA, US
Leading AI research in the combination of symbolic and sub-symbolic AI, integrated intelligent systems, and next generation machine learning and deep learning systems. Example projects include ones to enable AI systems to adapt to novel situations, explain their choices, adapt to new situations, and participate in human teams by understanding their human teammates\' social and task interactions.
EDUCATION
Carnegie Mellon University
Master of Science (M.S.), Computer Science
Carnegie Mellon University
Ph.D., Computer Science
Indiana University Bloomington
Bachelors, Honors Computer Science and Honors Mathematics, with High Distinction
SKILLS
ABOUT BRYAN LOYALL
Innovator from basic research to products in artificial intelligence and computer science. Technology leader experienced in growing an organization from a single AI technology to one covering nearly all areas of artificial intelligence (from machine learning to symbolic AI, and their combination), and multiple areas of computer science (e.g. cyber security, programming languages, computer architecture). Track record of building joint research projects with university groups from small projects with single professors to large multi-organizational projects (for example, a team of over 60 with researchers from MIT, Harvard, UPenn, Northeastern U. and BAE). Strategic business leader who both steers technology innovation to solve customer needs, and finds and develops customers for the organization’s technologies. Experienced business collaborator who has formed partnerships with wide range of companies from small businesses to multi-billion dollar organizations.Strong communicator: equally comfortable discussing technical details with technology leaders, as discussing bottom-line impact and strategic plan with senior decision makers.Demonstrated ability to grow the profit and revenue of organizations, e.g. delivered over 3x revenue growth in 4 years in an industry known for flat growth.
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