Jerry Yao-Chieh Hu, 胡耀傑

Department of Computer Science
Northwestern University

jhu \at\ u.northwestern.edu

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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 research focuses on developing theoretical foundations and principled methodologies for Large Language Models, Foundation Models and Generative AI. My long-term goal is to leverage machine learning to tackle important scientific and societal challenges. 

Recently, I have focused on understanding inference and learning in large pretrained models through the dual lens of statistics and neuroscience. This unique (model-based) perspective allows me to explore 

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Research

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

Rethinking Pretrained Models as Statistical Brains via the Lens of Dense Associative Memory (DenseAM a.k.a. Modern Hopfield Models): Theory, Algorithm and Methodology

AI/ML for Science and Finance