About Me

I am currently a Postdoctoral Fellow at Harvard University working with Prof. Hima Lakkaraju. In Fall 2023, I will start as an Assistant Professor at School of Information Sciences, University of Illinois Urbana-Champaign. I received my Ph.D. from University of Michigan and B.Eng. from Tsinghua University.

I’m generally interested in understanding and improving machine learning (ML) for complex real-world data (e.g., graphs, rankings, partially observed data), under different contexts (e.g., distribution shift), in terms of various metrics (e.g., accuracy, efficiency, robustness, fairness). A recurring theme of my research is about the relationships between ML and people. Some “buzzwords” that my existing research is relevant to include graph ML, trustworthy ML, multi-task learning, and recommender systems. I’m also dipping into explainable ML and NLP.

Please check my Google Scholar and Github. Contact: Email and Twitter.

Pronunciation of my first name: Jia-Chi.

I have openings for Ph.D. students starting in Fall 2023. Please see here for more details.


Selected Papers


Conference Publications

Journal Publications

(* Equal Contribution)

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Work Experience

Jun. 2019 - Aug. 2019

Research Intern, Google Brain. Google Inc., Mountain View, CA, USA.

May 2018 - Aug. 2018

Research Intern, Google Brain. Google Inc., Mountain View, CA, USA.

May 2017 - Sep. 2017

Research Intern, Research & Machine Intelligence. Google Inc., Mountain View, CA, USA.

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