Wayland Yeung
Scientist II at Tessera Therapeutics
Athens-Clarke County Unified Government, Georgia, United States
Summary
👤
Senior🎓
Top SchoolWayland Yeung is a computational biologist with nine years of experience bridging experimental benchwork and machine learning-driven bioinformatics, now contributing to genome engineering at Tessera Therapeutics. He holds a PhD in Bioinformatics from the University of Georgia and has developed explainable Transformer models for kinase-specific phosphorylation prediction, leveraged protein language model embeddings (e.g., ESM2) for functional site prediction and orthology detection, and integrated AlphaFold2 data for large-scale interaction inference. His background uniquely combines hands-on protein purification and cellular assays with production-grade Python/PyTorch tooling and a custom NumPy-based library for comparative sequence analysis. Known for pragmatic big-data strategies and interpretability-focused modeling, he excels at turning complex structural and sequence data into testable biological hypotheses.
9 years of coding experience
9 years of employment as a software developer
University of Georgia
Github Skills (8)
computational-biology6
snakemake5
sequence5
bioinformatics5
genomics5
prediction5
embedding4
transformer2
Programming languages (2)
Github contributions (5)
waylandy/HelperBunny
Dec 2019 - Dec 2022
Contributions:42 commits, 60 pushes, 2 branches in 2 years 11 months
waylandy/LOOPalyzer
Jan 2017 - Apr 2019
Contributions:26 pushes, 1 branch in 2 years 3 months
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