M Maher
San Francisco Bay Area United States
Summary
👤
Senior🎓
Top SchoolM Maher is a Chief AI Scientist with 12 years of experience applying machine learning and statistical genomics to improve human health, currently leading AI at Lind to match cancer patients with clinical trials. His career spans senior ML leadership at Vir Biotech and hands-on classifier development at GRAIL, where his work helped enable early cancer detection from a single blood draw. Trained as a PhD in Statistical Genomics with additional degrees in chemical biology and epidemiologic methods, he bridges deep quantitative rigor with practical product impact across diagnostics, infectious disease, and single-cell imaging. He has a track record of translating complex biological problems into deployable ML solutions that advance clinical decision-making. Based in the San Francisco Bay Area, he is passionate about leveraging large-scale data to accelerate therapies and uncover actionable insights that are not obvious from conventional analyses.
13 years of coding experience
18 years of employment as a software developer
Master of Public Health (MPH), Statistics, Epidemiologic Methods, Master of Public Health (MPH), Statistics, Epidemiologic Methods at University of California, BerkeleyPhD, Statistical Genomics, PhD, Statistical Genomics at University of California, San FranciscoBachelor of Arts (B.A.), Chemistry, Bachelor of Arts (B.A.), Chemistry at Pomona College
Spanish
Stackoverflow
1,246reputation
1.6mreached
6answers
0questions
xml
top-5%
python
top-5%
Github Skills (86)
python10
statistics10
jupyter10
data-science10
visualization10
data-visualisation10
bokeh9
javascript9
pandas9
virtual-screening9
deep-learning9
pytorch9
machine-learning9
graph-representation-learning9
data-structures9
Programming languages (6)
Github contributions (5)
cyrusmaher/mosaic
Aug 2013 - Jun 2022
Contributions:14 commits, 1 push in 8 years 11 months
cyrusmaher/CauseMap.jl
Jun 2014 - Sep 2015
Contributions:80 commits, 3 pushes, 1 issue in 1 year 3 months
causalinferencenon-linearlineardynamics
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