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I am primarily interested in applying machine learning to build predictive models for biological systems. My current research focuses on developing robust representation of biological states from high throughput measurements and building models to understand the transition among the states.

Prior to joining Calico, I worked as Principal Scientist in the bioinformatics group at P&G, where I analyzed the genomes of dandruff causing fungus and contributed to the understanding of the mechanism of action of zinc pyrithione for its antifungal activity. I also built the deep learning model for Olay personalized skin regime recommendation system.

Key Publications

A Balanced Ratio of Proteins from Gene G and Frameshift-Extended Gene GT Is Required for Phage Lambda Tail Assembly

Genomic Insights into the Atopic Eczema-Associated Skin Commensal Yeast Malassezia sympodialis

Dandruff/seborrhoeic dermatitis is characterized by an inflammatory genomic signature and possible immune dysfunction: transcriptional analysis of the condition and treatment effects of zinc pyrithione

Education

University of Pittsburgh, Ph.D. in Biological Sciences

University of Pittsburgh, M.S. in Information Sciences

Peking University, B.S. in Biochemistry