Xiang Gao

PhD Student
Center for Data Science
New York University

Email: xgao [at] cs [dot] toronto [dot] edu

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about

I am a first-year PhD student at NYU CDS.

I am a final-year undergraduate student studying data science at the University of Toronto and Vector Institute, where I am fortunate to be advised by Prof. Rahul G. Krishnan. I am broadly interested in machine learning (for healthcare). My goal is to facilitate the responsible deployment of AI systems through reliable, efficient, and safe learning algorithms. Previously, I started my research journey at the Healthy ML lab with Prof. Marzyeh Ghassemi.

research

2024

Predicting Long-Term Allograft Survival in Liver Transplant Recipients
Xiang Gao, Michael Cooper, Maryam Naghibzadeh, Amirhossein Azhie, Mamatha Bhat, Rahul G. Krishnan
Machine Learning for Healthcare (MLHC) 2024
[Paper] [Code]

2023

Structured Neural Networks for Density Estimation and Causal Inference
Asic Q. Chen, Ruian Shi, Xiang Gao, Ricardo Baptista, Rahul G. Krishnan
Neural Information Processing Systems (NeurIPS) 2023
[Paper] [Code]

2022

DynaMELD: Accurate, Equitable Modeling of End-Stage Liver Disease
Michael Cooper, Xiang Gao, Yingke Wang, Amirhossein Azhie, ..., Rahul G. Krishnan, Mamatha Bhat
American Association for the Study of Liver Diseases (AASLD) 2022, oral presentation
[Full Paper Forthcoming]

acknowledgment: this website template was stolen from Haoran Zhang (with much appreciation ヽ(•‿•)ノ )