Kumar Krishna Agrawal

I'm a PhD student in AI at UC Berkeley, where I'm affiliated with BAIR and UCSF. I am incredibly fortunate to be advised by Prof. Adam Yala and Prof. Trevor Darrell. I also work closely with Sky Computing Lab at Berkeley, and Prof. Blake Richards at MILA.

I am interested in building efficient algorithms and systems that help improve performance of (accuracy, reliability) and access to (white-boxing, low-latency) human-centric AI. My research spans two main thrusts: 1) improving AI-assisted healthcare, with a focus on enhancing screening and diagnostic capabilities, and 2) advancing multimodal AI that integrates perception and reasoning to understand and interact with the world.

Previously, I was an AI resident at Google Brain, where I helped build fast, simple learning algorithms; including off-policy reinforcement learning for robot manipulation and deep generative models for high-fidelity audio generation, program synthesis.

Before Berkeley, I studied mathematics and computer science at IIT Kharagpur, and had the privilege to be advised by Prof. Pabitra Mitra and Prof. Somesh Kumar. I have also been fortunate to spend time at MILA, advised by Prof. Yoshua Bengio.

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