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Jessy (Xinyi) Han

PhD student at MIT IDSS/LIDS

xyhan <at> mit <dot> edu
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Publications (list)

  • JX Han*, MJ Koh*, LS Boussi*, et al. Global outcomes and prognosis for relapsed/refractory mature T-cell and NK-cell lymphomas: Results from PETAL consortium. Blood Advances. (* The authors have contributed equally.)
  • Jessy Xinyi Han, Andrew Miller, S. Craig Watkins, Christopher Winship, Fotini Christia, Devavrat Shah. A Causal Framework to Evaluate Racial Bias in Law Enforcement Systems. AIES '24.
  • MN Sorial, MJ Koh, L Boussi, JX Han, et al. Impact of therapy sequence on survival outcomes among patients with relapsed or refractory mature T and NK cell neoplasms: a global retrospective cohort study. Poster session at Blood '23.
  • MJ Koh, LS Boussi, JX Han, et al. Novel Causal Inference Method Estimates Treatment Effects of Contemporary Drugs in a Global Cohort of Patients with Relapsed and Refractory Mature T-Cell and NK-Cell Neoplasms. Poster session at ASH '23.
  • LS Boussi, MJ Koh, X. Han, et al. Incorporation of Machine Learning Tools to Predict Global Outcomes for Patients with Relapsed and Refractory Peripheral T and NK/T-Cell Lymphomas in the Contemporary Era. Poster seesion at ASH '22. [pdf] [poster]
  • Y Zhang, JX Han, I Mahajan, P Bengani, and A Chaintreau. Chasm in Hegemony: Explaining and Reproducing Disparities in Homophilous Networks. ACM SIGMETRICS '21. [pdf] [video]
  • A Stoica, JX Han, A Chaintreau. Seeding Network Influence in Biased Networks and the Benefits of Diversity. The Web Conference, WWW'20. [pdf] [short video] [long video]

Welcome

I'm a fifth year Ph.D. student at the Institute for Data, Systems, and Society (IDSS) and Laboratory for Information and Decision Systems (LIDS) at MIT, advised by Prof. Devavrat Shah (EECS) and coadvised by Prof. Fotini Christia (PoliSci). My research interest is in leveraging methodologies from causal inference, graph theory and machine learning to develop better and fairer algorithms and systems to aid decision-making in social science and life science. I currently work on evaluating racial disparities in the criminal justcie system, as part of the Initiative on Combatting Systemic Racism (ICSR) at MIT. I also work on designing better causal inference tools for survival analysis, in collaboration with PETAL (a global T-cell lymphoma consortium).

Prior to MIT, I received my Bachelor's degree from Columbia University, majoring in Computer Science and minoring in Economics and Applied Mathematics. At Columbia, I received my first research training from Prof. Augustin Chaintreau and Dr. Ana-Andreea Stoica.

Updates

  • Blood Advances: First-authored paper on risk asessement of relapsed/refractory T-cell lymphoma patients accepted for publication at Blood Advances. Also accepted to *oral* presentation at ASH 2024
  • EAAMO: First-authored paper published at AIES 2024 also accepted for non-archival *oral* presentation at EAAMO 2024
  • AIES: First-authored paper on causal framework for studying racial disparity in criminal justice accepted for *oral* presentation at AIES 2024
  • Honor: Received the 2024-2025 Schwarzman College of Computing Fellowship funded by Google (one of the five recipients)
  • Invited Demo: Invited to present at the Schwarzman College of Computing community celeration event
  • AI Cures: Poster with Leora S Boussi et al. on incorporation of Machine Learning tools to predict global outcomes for R/R TCL patients to be presented at MIT-MGB AI Cures conference 2023
  • ASH: Poster with Leora S Boussi et al. on incorporation of Machine Learning tools to predict global outcomes for R/R TCL patients accepted to ASH 2022
  • SIGMETRICS: Paper with Yiguang Zhang et al. on disparities in homophilous networks accepted to SIGMETRICS 2021
  • News: Graduated from Columbia University with Summa Cum Laude and the Russell C. Mills Award
  • Honor: Selected to join the Michael Hammer Society of Fellows
  • TheWebConf: Paper on fairness in information diffusion accepted for an oral presentation at The Web Conference 2020
  • Honor: Honorable mention for the 2020 Outstanding Undergraduate Researcher Award
  • Poster: Accepted for a poster sesseion at WINE 2019

More About Me

My Chinese name is 韩心怡 and I'm proud to be the first in my family to attend college and grad school.

To support and empower Chinese women in academia, I started a Chinese Women in Academia女性在学术界 group on DouBan and a Welcome to Academia Chinese wiki on Github. If you are a Chinese-speaking female studying/working in academia, welcome!

Outside of academia, I love photography (especially landscape) and reading (especially Latin American literature).