Summary
Amanda Wasserman is a PhD candidate in Astronomy at the University of Illinois Urbana-Champaign with a decade of experience blending observational cosmology and machine learning to study supernovae. She holds a BS in Physics and Astronomy from the University of Rochester and has a track record of research and teaching roles spanning Columbia, Rochester, and UIUC. Amanda specializes in applying data-driven methods to astrophysical problems, pairing rigorous statistical analysis with practical ML pipelines. Beyond her research, she has mentored peers and led student organizations, reflecting strong communication and leadership in academic settings. Her work sits at the intersection of cutting-edge science and reproducible computational practice, making her equally comfortable with telescope data and model development.
10 years of coding experience
3 years of employment as a software developer
High School Diploma, High School Diploma at Beachwood High School
Bachelor of Science - BS, Physics and Astronomy, Bachelor of Science - BS, Physics and Astronomy at University of Rochester
Doctor of Philosophy - PhD, Astronomy, Doctor of Philosophy - PhD, Astronomy at University of Illinois Urbana-Champaign