Summary
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.
11 years of coding experience
5 years of employment as a software developer
Nanodegree Deep Learning, Nanodegree Deep Learning at Udacity
B.S Major: Biotechnology; minor: Mathematics., B.S Major: Biotechnology; minor: Mathematics. at James Madison University
University of California, Irvine