Amogh Jalihal is a research-focused computational biologist with 10 years of experience bridging wet-lab and data-driven research, currently a Research Associate at Harvard Medical School after a postdoc there. He combines hands-on experimental insight with quantitative analysis of high-throughput datasets to translate computational predictions into testable experimental designs. Trained with a PhD in Computational Biology from Virginia Tech and a B.Tech in Biotechnology, he thrives on interdisciplinary challenges at the interface of biology and computation. Comfortable in both code (with a fondness for Emacs Lisp) and the bench, he routinely collaborates with experimental groups to turn complex biological questions into practical workflows. Known for pragmatic problem-solving, he prioritizes reproducible, experimentally actionable models over purely theoretical work.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computational Biology, Doctor of Philosophy - PhD, Computational Biology at Virginia Tech
Bachelor of Technology (B.Tech.), Biotechnology, Bachelor of Technology (B.Tech.), Biotechnology at SASTRA University
Contributions:19 commits, 4 PRs, 12 pushes in 7 months
cell-cyclebiologymodelscycleode
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