Victoria Cheung
Senior Computational Clinical Scientist
United States
Summary
👤
Senior🎓
Top SchoolVictoria Cheung is a Senior Computational Clinical Scientist with eight years of experience applying computational biology, machine learning, and scalable software engineering to translational oncology and discovery biology. She builds reproducible pipelines and modular Python packages that bridge Python and R, enabling automated scheduled analyses and multiprocessing at clinical scale. Her work spans fragmentomics, methylomics, and multimodal integration to extract biomarkers from cfDNA, and she has driven substantial pipeline speedups and validated analytic sensitivity for liquid biopsy models. Trained as a UCSF PhD in neuroinformatics, she pairs deep domain knowledge in single-cell and neural systems with practical skills in AWS, Flyte, and NGS toolchains to translate complex data into decision-ready visualizations. Colleagues rely on her for cross-functional collaboration, mentoring junior scientists, and turning cutting-edge research methods into production-ready tools.
8 years of coding experience
University of California, San DiegoDoctor of Philosophy (Ph.D.), Doctor of Philosophy (Ph.D.) at University of California, San FranciscoNeuroscience, Neuroscience at Cold Spring Harbor Laboratory
Japanese, Chinese, Chinese, English
Stackoverflow
1reputation
0reached
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Github contributions (5)
vic-cheung/simple_cv
Feb 2022 - May 2024
Contributions:55 pushes, 2 branches in 2 years 2 months
vic-cheung/vectorseq
Aug 2021 - Mar 2022
Contributions:2 commits, 1 push in 6 months
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