I work at Meta AI, FAIR Lab.

I got my Ph.D. in the Department of Electrical and Computer Engineering at Princeton University, working with Prof. Peter Ramadge and Prof. Karthik Narasimhan between 2017 and 2022.

My research interests lie at the intersection of machine learning, reinforcement learning, and natural language processing. Specifically, I work on safe reinforcement learning, focusing on building autonomous systems that acquire knowledge by interacting with the world (multi-modal representation), and providing provable safety guarantees during training and deployment (safety and sample-efficiency). My work has been published and presented in leading machine learning venues, including NeurIPS, ICML, ICLR, and EMNLP. 

I have been working on machine learning projects, including but not limited to

(1) Reinforcement learning with safety constraints for self-driving cars;

(2) Learning control policy for robotics systems;

(3) Anomaly detection from sensor measurements;

(4) Instruction following in natural language processing;

(5) Simulation to real transfer using physics priors and transformers;

(6) Representation learning from user behavioral data.

Before Princeton, I received my BS in Electrical Engineering and Computer Science (Honors Program) at National Chiao Tung University, Taiwan.

yangtsungyen [at] gmail.com / Google Scholar / LinkedIn / Twitter

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