Ziyi Mo
Research Scientist, Machine Learning at Meta
Menlo Park, California, United States
Summary
👤
Senior🎓
Top SchoolZiyi Mo is a research scientist in machine learning with a decade of experience applying deep learning to population genomics and evolutionary inference. Trained at NYU Abu Dhabi and Cold Spring Harbor Laboratory (PhD), Ziyi has built high-throughput NGS pipelines and scalable analytic workflows deployed on HPC and cloud platforms, and moved between academia and industry research including Microsoft Research’s Health Futures and a current role at Meta. Their work blends rapid experimental iteration, principled research strategy, and production-minded engineering to extract evolutionary insights from large-scale simulated and real genomic datasets. Colleagues note an ability to translate complex statistical models into efficient, deployable pipelines—a skill reflected in cross-domain collaborations and outreach—making Ziyi effective at both hypothesis-driven science and engineering for scale.
9 years of coding experience
Bachelor of Science - BS, Bachelor of Science - BS at New York University Abu DhabiDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at Cold Spring Harbor Laboratory
German, Chinese, English
Github Skills (13)
slim5
population-genetics3
systems-biology3
genetics3
evolution3
modeling2
scripting2
evolutionary2
biology2
simulation2
sbml2
scripting-language1
cross-platform1
Programming languages (1)
Github contributions (5)
CshlSiepelLab/arg-selection
Oct 2019 - Jan 2022
Contributions:29 commits, 3 pushes, 4 comments in 2 years 2 months
ziyimo/popgen_util
Jun 2017 - Sep 2020
Contributions:18 pushes, 1 branch in 3 years 2 months
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