Idan Shenfeld

Idan Shenfeld is a researcher at Thinking Machines working on reinforcement learning algorithms and their applications, especially in language models and robotics. He completed a PhD at MIT, where his work included methods for continual learning in language models, including self-distillation and research on why online reinforcement learning forgets less than supervised fine-tuning.

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Thinking Machines

Nov 2026 — Present

Researcher

MIT

Technion – Israel Institute of Technology

B.Sc. in Computer Engineering

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csail.mit.edu

Thesis Defense: Lifelong Learning in the Age of Foundation Models

Shenfeld presents research on reducing forgetting during model updates and using self-distillation to help models learn from demonstrations, feedback, and conversations.

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