Tong Wu


I am a PhD student at Princeton University , advised by Prof. Prateek Mittal.

Previously, I studied at Washington University in St. Louis , advised by Prof. Yevgeniy Vorobeychik.

Research Interests: Trustworthy Machine Learning. Recently, I built robust and private retrieval-augmented generation (RAG) system with theoretical guarantee.

Open to Collaborations !

Welcome to contact me via email and others:

Selected Publication

* Equal contribution



Princeton University

Doctor of Philosophy
Major: Electrical and Computer Engineering
Sep. 2021 - Present

Washington University in St. Louis

Bachelor/Master of Science
Major: Computer Science     Major: Mathematics
Sep. 2018 - May 2021



(Responsible & OpenAI Research)
Research Intern
Aug. 2023 - Sep. 2023

NEC Labs America

Research Intern
May 2021 - August 2021

University of California, Berkeley

Research Intern
Jan. 2021 - May 2021


  • REVIEWING: ICLR’22,24; NeurIPS’22,23; ICML'23; IEEE S&P’21; KDD’22; AAAI’21; IJCV; WCAV’22,24; AML-CV’21.

  • TEACHING EXPERIENCE: Teaching Assistant of Introduction to Machine Learning (Spring 2019, Fall 2019, Spring 2020, Spring 2021), Washington University in St. Louis.


    • Princeton First Year Fellowship, 2021
    • Research Excellence Award at Washington University, 2021
    • AAMAS 2021 Student Scholarship, 2021
    • Washington University Undergraduate Research Conference Travel Award, 2020
    • Member of Tau Beta Pi Association, 2019, 2020, 2021