Summary
Daniel Li is a postdoctoral research associate specializing in experimental particle physics, currently working with the Velasco group at Northwestern University on the CMS experiment at CERN. With 12 years of experience and a PhD from Brown University, his expertise spans rare Standard Model processes, top-quark physics, silicon-tracker-based track reconstruction, calorimetry, and machine learning for data analysis. He has a strong teaching and outreach record—having won multiple teaching awards, led pedagogy workshops, and developed pre-college particle physics courses—demonstrating an ability to translate complex research into accessible learning. Comfortable at the intersection of hardware and algorithms, he combines detector development and reconstruction techniques with ML-driven analyses to push sensitivity in challenging searches.
12 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Physics, Master of Science - MS, Physics at Brown University
University of Illinois Urbana-Champaign
Arabic, English, Chinese