Zhizhuo Zhang
Director Of Sequence Learning at GSK
South San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolZhizhuo Zhang is a machine learning leader with 11 years of experience specializing in AI-driven drug discovery, genomics, and high-content cell imaging, now directing AIML Phenomics at GSK in South San Francisco. He has built and operationalized production-scale genomics foundation models, closed wet-dry loops for antibody engineering, and driven target ID and hit discovery by uniting ML, data engineering, and lab automation. His background spans rigorous academic work at MIT on gene regulation to hands-on startup and founder experience, giving him rare fluency across research, productization, and team building. Known for setting MLOps and cloud-native engineering standards, he also experiments with autonomous reasoning agents and biological foundation models to accelerate discovery. Colleagues describe him as a creative problem solver who translates complex biological questions into deployable AI systems that achieve state-of-the-art results.
10 years of coding experience
11 years of employment as a software developer
Postdoctoral Fellow Computational Biology, Postdoctoral Fellow Computational Biology at Massachusetts Institute of TechnologyBachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at South China University of TechnologyPhD Computational Biology, PhD Computational Biology at National University of Singapore
Chinese, Chinese, English
Github Skills (93)
similarity-search10
transformers10
neural-search10
python10
arabic-nlp10
semantic-search10
lda10
semantic-analysis10
compression10
embedding10
information-extraction10
squad10
distributed-training10
oom10
semantic-similarity10
Programming languages (3)
Github contributions (5)
zzz2010/5UTR_Optimizer
Mar 2020 - Feb 2021
Contributions:1 release, 7 commits, 4 pushes in 1 year
zzz2010/paddorch
Sep 2020 - Sep 2021
Contributions:1 release, 124 commits, 4 PRs in 1 year
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