- Machine Learning
- Deep Learning
- Nuclear Physics
- +۳ مورد دیگر
Michelle Kuchera is the Keiser Family Associate Professor of Physics at Davidson College, with affiliations in both the Physics and Mathematics & Computer Science departments. She is a computational physicist specializing in machine learning, nuclear physics, and particle physics. Education: Ph.D., Florida State University M.S., Florida State University B.S., Florida State University Her research focuses on applying machine learning and algorithm development to analyze data from accelerator-based experiments at facilities like the Facility for Rare Isotope Beams (FRIB), Thomas Jefferson National Accelerator Facility, and CERN. She leads the ALPhA (Algorithms for Learning in Physics Applications) research group, addressing computational challenges such as processing massive datasets from detectors like the AT-TPC, which generates data equivalent to the Library of Congress print collection in just two weeks. As an educator, she shares her deep learning expertise with undergraduates and international scientists, emphasizing collaboration as central to scientific progress. She has been involved in interdisciplinary research since her undergraduate work at the John D. Fox Laboratory in 2004.










