Tom Nguyen
Machine Learning Engineer at Meta
California, United States
Summary
👤
Senior🎓
Top SchoolTom Nguyen is a machine learning engineer and bioinformatics data scientist with 11 years of experience applying statistical genetics, ML, and software engineering to biomedical problems across industry and research. He has held roles from postdoctoral bioinformatics scientist at Genentech to senior research scientist at Amgen and currently builds ML systems at Meta, blending rigorous academic training (PhD in Applied Mathematics, visiting scholar at Stanford) with production-grade engineering. Tom’s background spans mathematical modeling, high-throughput genomics, and data visualization, enabling him to translate complex human genetics questions into scalable, interpretable models. Comfortable in both research and product contexts, he has experience moving methods from concept to deployment in large organizations. Based in California, he brings a rare combination of deep statistical expertise and practical software craftsmanship honed over cross-disciplinary teams.
11 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (PhD), Applied Mathematics & Statistics & Bioinformatics, Doctor of Philosophy (PhD), Applied Mathematics & Statistics & Bioinformatics at National University of Ireland - School of Maths, Statistics & Applied MathsM.Sc., Statistics & Bioinformatics, M.Sc., Statistics & Bioinformatics at Academia SinicaB.Sc. & M.Sc, Computer Science, B.Sc. & M.Sc, Computer Science at Vietnam National University, HanoiVisiting Research Scholar, Bioinformatics, and Computational Biology, Visiting Research Scholar, Bioinformatics, and Computational Biology at Stanford University
English
Github Skills (54)
lucene10
information-retrieval10
backend10
retrieval9
java9
solr9
utility8
python-interface8
search-engine8
r8
nosql8
lists7
parallel7
data-mining7
pisa7
Programming languages (4)
Github contributions (5)
capreolus-ir/diffir
Mar 2021 - Dec 2021
Tool for comparing two ranked lists (TREC run files)
Contributions:2 reviews, 82 commits, 6 PRs in 9 months
comparingpythonrankedlistsutility
thongnt99/learned-sparse-retrieval
Jan 2023 - May 2024
ECIR 2023: Unified Learned Sparse Retrieval Framework
Contributions:1 release, 4 PRs, 426 pushes in 1 year 4 months
learned-sparse-retrievallsrneural-irsparse-retrievaltransformers
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