Summary
Emma Tolley is an assistant professor and radio astronomy group leader at EPFL with 11 years of experience bridging particle physics and cosmology through high-performance scientific computing and AI. Trained as a physicist at MIT and Harvard and seasoned on ATLAS at the LHC, she designs end-to-end data pipelines, foreground-subtraction methods for 21cm cosmology, and physics-informed ML for large-scale simulations. Her work spans practical HPC code, data visualization and design, and exploratory quantum computing applications for interferometry, reflecting a knack for translating theoretical problems into production-ready tools. Based in Geneva, she blends rigorous statistical analysis with creative visualization, and her cross-disciplinary background means she often applies particle-physics techniques to novel problems in radio astronomy.
11 years of coding experience
11 years of employment as a software developer
Bachelor of Science - BS, Physics, 4.8/5.0, Bachelor of Science - BS, Physics, 4.8/5.0 at Massachusetts Institute of Technology
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at Harvard University Graduate School of Arts and Sciences