Joseph Marcus
Staff Machine Learning Scientist at GRAIL
Menlo Park, California, United States
Summary
👤
Senior🎓
Top SchoolJoseph Marcus is a Staff Machine Learning Scientist in Menlo Park with 14 years of experience applying statistical and computational methods to genomics and human genetics. Currently at GRAIL, he builds ML methods to improve early cancer detection, having advanced through data scientist and senior roles there since 2020. He completed a PhD in statistical genetics at the University of Chicago, where he developed population-genomic inference techniques, and previously created statistical testing frameworks for T-cell receptor immunosequencing during an internship at Adaptive Biotechnologies. Joseph combines rigorous academic training with production ML experience in biotech, and is adept at turning complex genomic signals into actionable models for clinical use.
13 years of coding experience
7 years of employment as a software developer
Bachelor of Science (BSc) Biology General, Bachelor of Science (BSc) Biology General at University of WashingtonDoctor of Philosophy (PhD) Human Genetics, Doctor of Philosophy (PhD) Human Genetics at University of Chicago
Github Skills (68)
genomes10
genomics9
solver8
generative8
bioinformatics8
bayesian-methods7
sparse-matrix7
statistics7
r-package7
genetics7
probabilistic-programming6
data-visualization6
sum6
genetic6
python6
Programming languages (10)
Github contributions (5)
NovembreLab/1000genomes_Selection_Exercise
Jun 2015 - Jul 2018
1000 Genomes Selection Exercise
Contributions:21 commits, 1 PR, 14 pushes in 3 years 1 month
bioinformaticsgenomesselectiongenomics
jhmarcus/freq_api
Nov 2014 - Nov 2015
Contributions:19 commits, 1 PR, 5 pushes in 1 year
apifrequency-datarestallelerest-api
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