Summary
Erdem Varol is an assistant professor at NYU with a decade of experience at the intersection of statistics, optimization, and machine learning applied to neuroscience, genomics, and computer vision. He completed a Ph.D. in Electrical and Systems Engineering at the University of Pennsylvania and held a postdoctoral fellowship at Columbia, blending rigorous theoretical training with domain-focused research. His work spans medical image analysis and algorithm development, informed by early hands-on experience in biomedical engineering and laser systems. Known for translating statistical and optimization methods into practical tools for scientific data, he brings both high academic standards (top grades in advanced statistics) and an experimental, instrumentation-minded perspective to computational problems.
10 years of coding experience
2 years of employment as a software developer
Master of Arts - MA, Statistics, 3.97, Master of Arts - MA, Statistics, 3.97 at The Wharton School
B.S., Mathematics, 3.6, B.S., Mathematics, 3.6 at University of Rochester
Stuyvesant High School
Doctor of Philosophy (Ph.D.), Electrical and Systems Engineering, 3.9, Doctor of Philosophy (Ph.D.), Electrical and Systems Engineering, 3.9 at University of Pennsylvania
Turkish, English, Spanish