Jonathan Perdomo is a computational genomics scientist and postdoctoral associate at the University of Pittsburgh with a decade of experience applying quantitative methods to human genome analysis. Trained in biomedical engineering (PhD candidate at Drexel) and biology with a computer science minor from UNC Chapel Hill, he bridges wet-lab questions and computational tool development across genomics, imaging, and biomechanics. His background includes developing software for ultrasound acquisition, shape analysis (SPHARM-PDM), and biomechanics quantification, showing a knack for turning complex biological data into reproducible analysis pipelines. He has moved between academic labs and industry R&D, bringing practical engineering practices to research settings and publishing technical tutorials that have supported broader tool adoption. Colleagues know him for combining rigorous computational methods with hands-on instrumentation experience, enabling insights from diverse data modalities.
10 years of coding experience
8 years of employment as a software developer
High School, High School at Ledford Senior High School
Doctor of Philosophy - PhD, Biomedical Sciences, General, Doctor of Philosophy - PhD, Biomedical Sciences, General at Drexel University School of Biomedical Engineering, Science and Health Systems
Bachelor's Degree, Biology, Computer Science Minor, Bachelor's Degree, Biology, Computer Science Minor at University of North Carolina at Chapel Hill
Contributions:55 pushes, 4 branches in 3 years 1 month
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