Chen Bo Calvin Zhang

I am currently a research intern at CHAI, where I work with Micah Carroll on reinforcement learning and robustness of large language models.

Before joining CHAI, I was a visiting scholar at MIT, where I focused on online learning and reward design for reinforcement learning. During that time, I was fortunate to collaborate with Zhang-Wei Hong, Aldo Pacchiano, and Pulkit Agrawal.

I hold an MSc in Data Science from ETH Zurich, where I worked with Giorgia Ramponi on preference-based reinforcement learning.

Earlier, I completed my BSc (Hons) in Computer Science and Mathematics at the University of Manchester, where I researched adversarial attacks in deep reinforcement learning under the supervision of Tingting Mu.

I am interested in safe generalization in sequential decision making and AI alignment, with applications to autonomous agents and robotics. I aim to develop algorithms that enable agents to make reliable and safe decisions over long time horizons, even in complex and unpredictable environments.

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