Yao Lu
Clinical Genomics Scientist at Invitae
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolYao Lu is a Clinical Genomics Scientist in San Francisco with 12 years of experience translating complex molecular research into clinically actionable variant interpretations. Trained as a PhD cell biologist at Peking University, Yao progressed from creating genome-edited disease models and discovering signaling networks in academia to applying ACMG guidelines for diagnostic variant classification in clinical labs. At Invitae and True Health Diagnostics they have focused on rigorous variant interpretation workflows and cross-disciplinary collaboration with clinicians and lab teams. Their background in high-throughput assay development and automated liquid handling informs a pragmatic, systems-minded approach to scaling genomic analysis. Unusually for a clinical scientist, Yao also explores neural networks research on GitHub, reflecting a curiosity for computational methods that could enhance variant interpretation. They combine deep wet-lab expertise with clinical rigor and a growing interest in ML-driven genomics solutions.
12 years of coding experience
7 years of employment as a software developer
Bachelor of Science (BS), Biology/Biological Sciences, General, Bachelor of Science (BS), Biology/Biological Sciences, General at Peking University
Chinese, English
Github Skills (25)
twitter10
stochastic10
topological-data-analysis10
sentiment-analysis10
theano10
unsupervised-learning9
sentiment9
libtorch9
embedding9
nlp8
3d-rendering7
machine-learning6
pytorch6
neural-network5
deep-neural-networks5
Programming languages (5)
Github contributions (5)
gaoyuankidult/DRL-AI
May 2014 - Feb 2015
Contributions:28 commits, 23 pushes in 9 months
yaolubrain/DOSNES
Sep 2016 - Sep 2019
Doubly Stochastic Neighbor Embedding on Spheres
Contributions:28 commits, 1 PR, 34 pushes in 3 years
spheresstochastictopological-data-analysisneighborembedding
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