Ph.D. in statistics, Princeton University; B.A. in physics, Harvard University; M.A. in music, The New England Conservatory of Music
Irineo Cabreros is an associate statistician at the RAND Corporation. His research interests include causal inference, algorithmic equity, experimental design, survey sampling, high-dimensional statistics, latent variable modeling, and statistical genetics. At RAND he has worked on projects in health care, education, fairness and equity, military personnel, substance use, incarceration, and insurance industries. A passionate science communicator, he was a 2018 AAAS Mass Media Fellow and has written for Slate Magazine, Undark Magazine, and the Los Angeles Times. Cabreros received a Ph.D. in applied mathematics from Princeton University, where he developed statistical methods for complex genetic datasets. Cabreros received an A.B. in physics from Harvard University and a Master's in music from the New England Conservatory.
