Jessy (Xinyi) Han
PhD student at MIT IDSS/LIDS
xyhan <at> mit <dot> edu
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Publications (list)
- L.S. Boussi, M. Koh, X. Han, L. Peng, M. Koh, I. Eche, J. Ford, S. Singh, E. Miranda, C. Chiattone, C. Van Der Weyden, M. Prince, F. Foss, S. Yoon, W. Kim, G. Panchoo, E. Verburgh, J. Cuenca Alturas, M. Al-mansour, M. Manni, M. Federico, M.E. Cabrera, B. Casadei, P.L. Zinzani, N. Yoshida, T. Okatani, M.H. Merrill, E.D. Jacobsen, O.A. O’connor, E. Marchi, and S. Jain. 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 Blood '22. [pdf] [poster]
- Yiguang Zhang, Jessy Xinyi Han, Ilica Mahajan, Priyanjana Bengani, and Augustin Chaintreau. Chasm in Hegemony: Explaining and Reproducing Disparities in Homophilous Networks. ACM SIGMETRICS '21. [pdf] [video]
- Ana-Andreea Stoica, Jessy Xinyi Han, Augustin Chaintreau. Seeding Network Influence in Biased Networks and the Benefits of Diversity. The Web Conference, WWW'20. [pdf] [short video] [long video]
- Ana-Andreea Stoica*, Jessy Xinyi Han* and Augustin Chaintreau, Diversity and Bias in the Influence Maximization Problem. Poster Session at WINE'19. (* The authors have contributed equally.) [poster]
Welcome
I'm a third 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.
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
- 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
- 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).