A Science Apprentice for Biophysics
Data Scientist in Gilead Sciences
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.
Latest news
Feb 18, 2023 | I am honored to be the recipient of Student Award in Physical Cell Biology in 2023 BPS Annual meeting! |
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Jul 31, 2022 | This is the first day that I set up a personal website. |
Selected publications
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NARAWSEM-Suite: a protein structure prediction server based on template-guided, coevolutionary-enhanced optimized folding landscapesNucleic Acids Research 2020
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JCTCProtein structure prediction in CASP13 using AWSEM-SuiteJournal of Chemical Theory and Computation 2020
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PNASComputationally exploring the mechanism of bacteriophage T7 gp4 helicase translocating along ssDNAProceedings of the National Academy of Sciences 2022
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IUCrJA deep learning solution for crystallographic structure determinationIUCrJ 2023