Summary
Charles Edelson is a biophysics-focused researcher and educator with a decade of experience bridging physics, statistics, and data science to study sensory encoding and motion estimation in fly vision. Currently a Postdoctoral Research Fellow at Princeton and a PhD candidate at Indiana University Bloomington, he combines hands-on experimental and computational methods to quantify information processing in neural systems. His background includes teaching and mentoring roles in computational neuroscience and physics, plus applied data-science internships in human health and safety contexts. Comfortable moving between field-relevant biology (marine biology roots) and quantitative theory, he brings a rare mix of lab, modeling, and pedagogy skills that accelerates interdisciplinary projects.
10 years of coding experience
Doctor of Philosophy - PhD Physics, Doctor of Philosophy - PhD Physics at Indiana University Bloomington
Master of Science - MS Data Science, Master of Science - MS Data Science at New College of Florida