// PERSON
Idan Shenfeld
ROLE RESEARCHERMENTIONS 1LAST SEEN SEPTEMBER 17, 2026
// BIO
Idan Shenfeld is a Ph.D. candidate in Electrical Engineering and Computer Science at MIT, where he is advised by Professor Pulkit Agrawal and is affiliated with the Improbable AI Lab. His research focuses on reinforcement learning algorithms and their applications in NLP and robotics, including continual learning for foundation models. He holds a B.S. in Computer Engineering from the Technion and has conducted research at Google DeepMind, General Motors, and Samsung.
// RECENT MENTIONS
// SIGNALS
1 SIGNAL
01
mention·arXiv Physical AI·SEPTEMBER 17, 2026
“Idan Shenfeld co-developed the project direction, contributed to writing and experimental design, and provided conceptual guidance”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.