I am a Ph.D. student in the Department of Statistics at The University of British Columbia. I build machine learning models to provide insight on the mechanism of the complex human diseases with Prof. Sara Mostafavi and Prof. Yongjin Park. I employ techniques from graphical models, causal inference, and recent advances in deep learning, e.g., computer vision, natural language processing, to make my models interpretable, scalable, and robust.

Prior to my Ph.D. study, I received my Master’s Degree from the Department of Biostatistics at University of Washington, where I worked on matrix completion and cell deconvolution problems with Prof. Noah Simon. I worked as a Biostatistician and Research Intern at NanoString Technologies, Inc. I’ve been working as a statistical consultant in both industry and academia.

When I am not doing research, I am an outdoor enthusiast and foodie. I enjoy traveling, hiking and camping while exploring local restaurants, watching cooking videos, and making dishes.


  • 07/2020. talk on our recent work DeepPLIER at ISMB2020, MLCSB.
  • 11/2018. talk on Scaled Matrix Completion in UBC/SFU joint seminar.
  • 06/2018. graduate from UW Biostatistics
  • 10/2017. as the first master student in biostatistics program featured on the School of Public Health Gradaute Student Profile.