Adam Kohan

R&D in efficient and scalable AI from commercial B2B/B2C to government NSF/DARPA projects

Research Expertise

Software
Computer Networks and Communications
Artificial Intelligence
Computer Science Applications

About

Adam Kohan is an accomplished Ph.D researcher in Artificial Intelligence at the University of Massachusetts Amherst. He specializes in the field of efficient and scalable AI systems and has conducted extensive research in parallel, asynchronous, distributed, and sparse AI models, learning, and knowledge graphs. Before working at the University of Massachusetts Amherst, Adam joined MindBox Studios as a Technical Manager, where he oversaw the development of internal and product development systems. Adam connected cross-functional teams through automated and secure communications and information storage and retrieval. His expertise and leadership skills have also played a crucial role in the success of hiring and retaining developers, including building a contunuing education platform for company employees, especially developers . In addition to his technical skills, Adam also has strong communication, teamwork, and organization abilities, making him an excellent collaborator. He is passionate about sharing his knowledge, working together with teammates, taking ownership of his team, and meeting goals with efficiency and action. With his strong research and development background and extensive industry experience, Adam Kohan is a powerful force to advance AI efficiently and scalably in your organization.

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Education

University of Massachusetts Amherst

Ph.D., Artificial Intelligence, Efficient Learning

Amherst Center, Massachusetts, United States of America

Experience

University of Massachusetts Amherst

Research / January, 2017Present

MindBox Studios

Technical Manager

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