Summary
Alec Heckert is a software engineer with 11 years of experience who blends a PhD-level background in super-resolution single particle tracking with production software development for scientific automation. He has built hybrid Python/C++ packages, interactive labeling tools, and simulation frameworks to support high-throughput microscopy workflows, and currently applies that expertise at D. E. Shaw Research after leading algorithm development at Eikon Therapeutics. Alec’s work spans Bayesian machine learning, modern computer vision, and practical systems integration—turning advanced research methods into robust, reproducible pipelines for diverse robotic imaging platforms. Notably, he created open-source tools during his PhD that became the main tracking software in his lab, reflecting a habit of shipping research-quality code that other scientists adopt. Based in New York, he excels at translating cross-disciplinary scientific problems into scalable software solutions.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Molecular and Cell Biology / Chemical Biology, Doctor of Philosophy - PhD, Molecular and Cell Biology / Chemical Biology at University of California, Berkeley
Bachelor of Science - BS, Chemistry / Biochemistry, Bachelor of Science - BS, Chemistry / Biochemistry at University of Washington, Seattle