Summary
Gordon Saksena is a pragmatic Data Scientist and Research Software Engineer with 10+ years translating complex biological questions into scalable data solutions, particularly in cancer genomics and large-scale metadata workflows. He consults for Principal Investigators and research groups—most notably within the Broad Institute ecosystem—helping teams adopt cloud and reproducible data practices without forcing disruptive mental-model shifts. Comfortable across MATLAB, R, Python and cloud platforms, he combines deep statistical intuition with hands-on engineering to clean, organize, and productionize messy research data. His background designing high-precision calibration algorithms and visualization tools gives him a rare blend of signal-processing rigor and user-focused tooling. Based in Lincoln, Nebraska, he favors short-term, high-impact engagements that lift research groups to the next level of maturity.
10 years of coding experience
26 years of employment as a software developer
M.Eng., Electrical Engineering, M.Eng., Electrical Engineering at Cornell University