about

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

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

• Machine Learning Models to Predict Long-term Allograft Survival in Liver Transplant Recipients
  Xiang Gao, Michael Cooper, Maryam Naghibzadeh, Amirhossein Azhie, Mamatha Bhat, Rahul G. Krishnan
  Canadian Donation and Transplantation Research Program (CDTRP) 2022, oral presentation
  [Full Paper Forthcoming]

• 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 )