Parth Asawa
Profile
CS PhD student at UC Berkeley.
Biography
Parth Asawa is a PhD student at UC Berkeley advised by Professor Matei Zaharia and Professor Joey Gonzalez. Parth's research is on continual learning, studying how to enable models to stably learn from streams of experiences over time. His work focuses on sample-efficient learning and spans the stack of data, learning algorithms, architectures, and evaluation.
Conference Sessions
- 2026 06 30 parth asawa beyond static intelligence evaluating continual learning — Beyond Static Intelligence: Evaluating Continual Learning (2026-06-30, 10:45am-11:05am)
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Linked Sessions
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