Irineo Cabreros

Photo of Irineo Cabreros
Associate Statistician
Off Site Office


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.


  • Discriminatory Practices

    Algorithms Teach Us Why Equity Is Hard

    If all the shortcomings of humanity were stripped away, equity would still be an elusive goal for algorithms for reasons that have more to do with mathematical impossibilities than backward ideologies. But even if attaining equity is fundamentally difficult, seeking it is not futile.

    Mar 28, 2022

    Los Angeles Times