Summary
David Swygart is an Assistant Research Professor and neuroscientist with nine years of experience probing neuronal computation and functional divergence in the mouse retina. Trained as a PhD student in Greg Schwartz’s lab at Northwestern, he combines rigorous electrophysiology (including cell-attached, voltage/current/dynamic clamp, single and paired recordings) with two-photon, confocal, and block-face EM imaging to link physiology to detailed neuronal morphology. He developed computational models that integrate signaling dynamics and reconstructed anatomy, translating high-resolution experimental data into testable hypotheses about retinal circuitry. Based in Forest Park, Illinois, David bridges hands-on experimental techniques and quantitative modeling to uncover how individual neurons compute within networks. Colleagues note his ability to pair technically demanding recordings with large-scale imaging, enabling cross-modal datasets that many labs struggle to produce.
9 years of coding experience
Bachelor's degree, Biology, General, Bachelor's degree, Biology, General at Indiana Wesleyan University
Doctor of Philosophy - PhD, Neuroscience, Doctor of Philosophy - PhD, Neuroscience at Northwestern University - The Feinberg School of Medicine