Jaleal Sanjak

Lead Data Scientist

Takoma Park, Maryland, United States
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Summary

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Senior
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Top School
Jaleal Sanjak is a Lead Data Scientist with 11 years of experience applying computational biology, population genetics, and machine learning to infectious disease, public health, and health security problems. He holds a Ph.D. in Ecology and Evolutionary Biology from UC Irvine and brings deep expertise in R, Python, and C/C++ for statistical analysis, bioinformatics, and mathematical modeling. Jaleal has driven data-driven decisions at organizations ranging from NIH and Booz Allen to Gryphon Scientific and now Children's National Hospital, often translating heterogeneous biomedical data into actionable insights such as drug-repurposing hypotheses for rare diseases. Trained through Insight’s Health Data Science Fellowship and an NSF GRF recipient, he blends rigorous academic research with production-ready tooling and deployed analytics. He also has a practical knack for building end-to-end solutions—backend models, interactive frontends, and cloud-hosted apps—that make complex analyses usable by clinicians and policymakers.
code11 years of coding experience
job5 years of employment as a software developer
bookNanodegree Deep Learning, Nanodegree Deep Learning at Udacity
bookB.S Major: Biotechnology; minor: Mathematics., B.S Major: Biotechnology; minor: Mathematics. at James Madison University
bookUniversity of California, Irvine
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Github Skills (19)

plink10
cancer-genomics9
gwas9
snakemake7
genetic7
simulation4
python4
similarity2
shiny2
ontologies2
twitter-bootstrap2
twitter2
digraph2
networkx1
bootstrap-components1

Programming languages (4)

C#RJupyter NotebookPython

Github contributions (5)

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ThorntonLab/ESMtest

Oct 2014 - Jun 2017

Contributions:78 commits, 3 pushes in 2 years 7 months
jsanjak/grape_demog

May 2017 - Nov 2017

Contributions:16 pushes, 2 branches in 6 months
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