333 Lakeside Dr
Foster City, CA, 94404
I am excited to introduce myself as a Data Scientist at Gilead Sciences, specializing in the deployment of state-of-the-art machine learning models to revolutionize clinical trial design and drug discovery processes. With a solid foundation in data science and a deep commitment to enhancing healthcare outcomes, I am fully dedicated to advancing Gilead’s mission of pushing the boundaries of medical research and delivering innovative solutions to patients worldwide.
My educational journey includes completing a Bachelor’s degree in Biosciences from Zhejiang University in 2017. Subsequently, I pursued a Ph.D. in Computational Biology and earned a master’s degree in Computer Science from Rice University in 2023. My research interests encompass a broad spectrum of areas, including protein folding, molecular dynamics, deep learning, and various computational biology challenges.
Beyond the research, I like playing the piano, badminton, diving, plant identification, and traveling.
|Feb 18, 2023||I am honored to be the recipient of Student Award in Physical Cell Biology in 2023 BPS Annual meeting!|
|Jul 31, 2022||This is the first day that I set up a personal website.|
NARAWSEM-Suite: a protein structure prediction server based on template-guided, coevolutionary-enhanced optimized folding landscapesNucleic Acids Research 2020
JCTCProtein structure prediction in CASP13 using AWSEM-SuiteJournal of Chemical Theory and Computation 2020
PNASComputationally exploring the mechanism of bacteriophage T7 gp4 helicase translocating along ssDNAProceedings of the National Academy of Sciences 2022
IUCrJA deep learning solution for crystallographic structure determinationIUCrJ 2023