My ongoing project involves mass spectrometry-based proteomics in tandem with deep learning to study the interaction between protein and drug. The project aims to leverage proteomic data and deep learning model to comprehensively predict protein targets that are interacting with the drug thereby aiding the fundamental process of drug development and discovery.
I am also involved in an interactive omics data visualization tool named Breast Cancer Data Portal using proteome and transcriptome data from three most recent in-depth breast cancer multi-omics landscape studies. This tool aims to provide new biological insights and potential prognostic marker candidates for breast cancer classification, diagnosis, and treatment.
2021, MS, Biochemical and Molecular Nutrition, Tufts University Friedman School of Nutrition Science and Policy
2018, BS, Food Science and Technology, University of California, Davis