Summary
Jalal Siddiqui is a Senior Bioinformatics Scientist with a PhD in Biophysics and over a decade of experience turning complex biological data into actionable insights using R, Python, MATLAB, and SQL. His work spans academic and industry settings—modeling cardiac physiology during his doctorate, developing statistical and bioinformatics methods for cancer multi-omics in postdoctoral training, and building NGS pipelines for oncology, virology, and transplant biology in industry. He has authored 20+ publications, presented at multiple conferences, and consistently delivered reproducible pipelines and tools that bridge research and clinical applications. Skilled in machine learning, deep learning, and single-cell RNA-seq, he combines rigorous quantitative modeling with practical pipeline engineering. Based in Columbus, Ohio, he brings both commercialization exposure from technology transfer experience and a track record of translating high-throughput data into publishable and deployable results. Notably, his background in biophysics gives him an uncommon strength in mechanistic modeling alongside modern bioinformatics.
8 years of coding experience
16 years of employment as a software developer
B.A.B.S.M.Eng Chemical Engineering, B.A.B.S.M.Eng Chemical Engineering at Cornell University
Doctor of Philosophy (PhD) Biophysics, Doctor of Philosophy (PhD) Biophysics at The Ohio State University
English