Alex Farhang is a PhD candidate at Caltech specializing in machine learning and computational neuroscience, with nine years of research experience spanning academia and industry. He has collaborated with leading investigators and fellowships (NSF-GRFP, Tianqiao & Chrissy Chen Institute) to bridge theory and experiment in neural data analysis. Prior roles include research positions at UCSF and Cornell and a research internship at Epic Games, reflecting an ability to translate neuroscience questions into scalable computational solutions. His background combines rigorous biological training (BS with distinction in Neurobiology and Behavior) with practical engineering exposure, including work in infrared photonics at JPL. Alex’s profile suggests a researcher who balances deep quantitative modeling with hands-on experimental collaborators, making him adept at interdisciplinary projects that push both algorithms and neuroscience understanding.
9 years of coding experience
2 years of employment as a software developer
California Institute of Technology
Bachelor of Science (BS) with Distinction in Research, Cum Laude, Biological Sciences, Concentration: Neurobiology and Behavior, Bachelor of Science (BS) with Distinction in Research, Cum Laude, Biological Sciences, Concentration: Neurobiology and Behavior at Cornell University
Contributions:15 commits, 14 pushes, 1 branch in 3 months
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