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 foundations and principled methodologies for large language models and foundation models, aimed at leveraging modern machine learning to tackle important scientific and societal problems.

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

• Model-Based Understanding Of Transformer-Based Models From Associative Memory 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

Open Invitation: Individual Support Office Hours

• I dedicate 2 hours weekly for master’s, undergrad and high school outreach students to chat about Research, Grad School, and My Transition to ML research from a Non-CS/ML Background

• I welcome students from underrepresented groups and will prioritize these meetings

• Please fill out this form to schedule a chat :)