Research Scientist at University of Southern California
Berkeley, California, United States
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Summary
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Senior
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Top School
Joshua Schraiber is a research scientist and computational biologist with 11 years of experience developing scalable statistical and machine-learning methods for large genomic datasets. He combines deep expertise in Bayesian inference, Monte Carlo algorithms and stochastic modeling with production-focused software engineering—authoring multithreaded C++ tools and R/Python packages used to analyze terabytes of data. His career spans academia and industry, from NSF postdoctoral work and a faculty position to applied roles at Ancestry and Illumina, where he translated theory into algorithms serving millions of consumers. Notably, he has adapted quantitative finance models and nonparametric Bayesian clustering to extract subtle signals from evolutionary and gene expression data. Based in Berkeley, he seeks challenging projects that blend first-principles modeling with cutting-edge machine learning to reveal hidden structure in complex biological systems.
11 years of coding experience
11 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Integrative Biology with designated emphasis in Computational Biology, Doctor of Philosophy (Ph.D.), Integrative Biology with designated emphasis in Computational Biology at University of California, Berkeley
Bachelor of Science (B.S.), Genetics with minor in Mathematics, Bachelor of Science (B.S.), Genetics with minor in Mathematics at University of California, Davis
Contributions:1 release, 125 commits, 93 pushes in 2 years 2 months
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Joshua Schraiber - Research Scientist at University of Southern California