Yufeng Wu

About Me

I’m a first-year Ph.D. student in the Department of Electrical Engineering and Computer Science (EECS) at MIT, advised by Prof. Caroline Uhler. I graduated from Williams College in 2024 with a B.A. in Computer Science and Economics.

I wrote my undergraduate thesis with Prof. Rohit Bhattacharya on developing novel causal inference methods in network data where observations are not independent and identically distributed.

In summer 2023, I participated in the SMALL REU program and collaborated with CSAFE to improve the robustness of ML models for shoeprint matching in forensic applications.

I’m generally interested in AI/ML and causal inference. I particularly enjoy creating methodological advancements that are grounded in theory. If you’re interested in discussing research or potential collaborations, feel free to reach out via email!

News

See more details here.

[Jan. 2025] Our paper on causal effect estimation in social networks got accepted by Causal Learning and Reasoning (CLeaR) 2025! 🎉
[Jun. 2024] I graduated from Williams College and am honored to receive Valedictorian, Summa Cum Laude, and Highest Honors in Computer Science awards!
[May 2024] I gave an oral presentation at the American Causal Inference Conference (ACIC) 2024, Seattle, WA. See slides here.
[May 2024] I successfully defended my thesis before the Computer Science department at Williams College! See details here.
[Nov. 2023] My collaborators and I submitted a research paper on ML robustness to Journal of the Royal Statistical Society Series C: Applied Statistics. Preprint can be accessed here.
[Aug. 2023] During SMALL REU program, my collaborators and I published an interactive web App called “SoleMate: An End-To-End System for Forensic Shoeprint Matching”. Try here!

Papers

Network Causal Effect Estimation In Graphical Models Of Contagion And Latent Confounding

Yufeng Wu, Rohit Bhattacharya

Causal Learning and Reasoning (CLeaR), 2025

PDF Code Oral Presentation at American Causal Inference Conference (ACIC) 2024

Improving and Evaluating Machine Learning Methods for Forensic Shoeprint Matching

Divij Jain*, Saatvik Kher*, Lena Liang*, Yufeng Wu*, Ashley Zheng*, Xizhen Cai, Anna Plantinga, Elizabeth Upton (* = equal contribution)

Journal of the Royal Statistical Society Series C: Applied Statistics

PDF Code Project Page Under Review

Honors and Awards

Valedictorian, Williams College, 2024
Summa Cum Laude (top 2% of class), Williams College, 2024
Sigma Xi Soceity, Williams College, 2024; Inducted into the Sigma Xi Soceity for excellence in research.
Phi Beta Kappa National Honor Society Junior Year Inductee, Williams College, 2023
Best Poster Award, New England Statistical Society (NESS)–NextGen Data Science Day Poster Competition, Connecticut, 2023