I am a PhD candidate in Computer Science at Northwestern University, advised by Han Liu in MAGICS lab. I hold my B.S. degree in Physics from National Taiwan University, advised by Pisin Chen.

My primary research interest lies in the intersection between Machine Learning, Physics, and Statistics.

Topics I am currently working on (Machine/Deep Learning):

• Foundations of Large Foundation Models: Theory, Algorithm and Methodology
  [ICML'24],[ICML'24],[ICML'24],[ICLR'24],[NeurIPS'23]

• Principled Methodologies for Machine Learning with Strong Empirical Performance and Theoretical Guarantees
  [ICML'24],[ICLR'24],[ICML'23]

Topics I had worked on in the past (Theoretical Physics):

• Topological Phases of Quantum Matter

• Blackhole Information Loss Problem

• Quantum Gravity