Summary
Luke Bemish is a graduate fellow and interdisciplinary researcher combining mathematics and biology to develop computational models of neural systems. With six years of research experience spanning retinal electrophysiology, auditory neuroscience in parasitoid flies, and behavioral and song-dynamics modeling in rodents, he blends quantitative theory, data pipelines, and hands-on physiology. His work has included building spike-processing workflows, designing biologically informed dynamical models, and applying Bayesian optimization to experimental control—skills he now brings to his PhD research at The Rockefeller University. Luke’s academic record (4.0 BA) and history of collaborative lab projects highlight a pragmatic curiosity: he seeks not only to model neural computation but to test and adapt those models directly in living systems.
6 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Biology, Doctor of Philosophy - PhD, Biology at The Rockefeller University
Bachelor of Arts - BA, Mathematics and Biology, 4.0/4.0, Bachelor of Arts - BA, Mathematics and Biology, 4.0/4.0 at St. Olaf College