I am on the job market. If you have any openings related to ML and CompBio, please get in touch with me!

I am a postdoctoral fellow at the Noble Research Lab in University of Washington. Previously, I earned my Ph.D. in Computational Biology and Bioinformatics from University of Southern California. Before that, I received my M.S. and B.S. degrees in Computer Science and Engineering from Shanghai Jiao Tong University.

My research aims to formulate the biological problems in genomics and proteomics as interesting computational problems and to develop novel machine learning to solve these problems. I am particularly interested in developing interpretability methods to make sense of complex machine learning models to analyze complex biological data. I am also interested in finding both scientifically interesting and statistically confident hypotheses by interpreting these models. I have published papers in prestigious conferences and journals from computational biology and machine learning, such as Bioinformatics, Nucleic Acids Research, ISMB, NeurIPS, ICML, etc.

Research Interests

    Computational Biology:
  • Single-cell genomics
  • Mass spectrometry-based proteomics
  • Metagenomics
  • Machine Learning:
  • Interpretable machine learning
  • Reproducible (error-controlled) machine learning
  • Heterogeneous data integration


  • Ph.D. in Computational Biology and Bioinformatics, 2017
    University of Southern California
  • M.S. in Computer Science and Engineering, 2013
    Shanghai Jiao Tong University
  • B.S. in Computer and Software Engineering, 2010
    Shanghai Jiao Tong University

Publications as leading author

*= co-first author
Full publication list


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