Summary
Ana Rivero is a quantitative researcher with 8 years of experience applying statistical and machine learning methods to cosmological data, currently working at D. E. Shaw and completing a Ph.D. at Harvard in Physics. She marries first-principles theoretical formalisms with practical generative ML approaches to push inference beyond traditional summary statistics, focusing on observables like strong lensing, large-scale structure, and the CMB. Her background spans academic and industry settings—from hands-on instrument work at Columbia and CERN to internship and full-time roles in quantitative finance—demonstrating fluency across data acquisition, calibration, and modeling. She has taught and mentored at Harvard Summer School and Princeton, and served on a scholarship board that supports women in STEM, reflecting a commitment to outreach and inclusion. Notably, her Ph.D. research explores using generative models as direct inference tools, a direction that could reshape how forthcoming cosmological surveys are analyzed.
8 years of coding experience
1 year of employment as a software developer
International Baccalaurate (Bilingual Diploma) - obtained 44 points, International Baccalaurate (Bilingual Diploma) - obtained 44 points at Institut Le Rosey
Doctor of Philosophy (Ph.D.) Physics, Doctor of Philosophy (Ph.D.) Physics at Harvard University
Bachelor of Arts (B.A.) Physics, Bachelor of Arts (B.A.) Physics at Princeton University
Spanish, English, Catalan, French, Portuguese, Italian