Monitoring the evolution of the pandemic in our society is crucial. This discussion highlights some very important principles of statistical sampling that are relevant to formulating policy.
Aug 4, 2020
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. He is a passionate science communicator who has written for Slate Magazine as an AAAS Mass Media Fellow. 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.