I am an Assistant Professor at the Boston University Center for Computing and Data Sciences and a Visiting Scientist at the Schmidt Center of the Broad Institute of MIT and Harvard. I obtained my PhD at UC Berkeley where I was advised by Peter Bartlett and Michael Jordan. My research lies in the areas of Reinforcement Learning, Online Learning, Bandits and Algorithmic Fairness. I am particularly interested in furthering our statistical understanding of learning phenomena in adaptive environments and use these theoretical insights and techniques to design efficient and safe algorithms for scientific, engineering, and large-scale societal applications.
The Pacchiano’s Lab for Adaptive and Intelligent Algorithms (PLAIA) site can be found here.
A sample of my literary writings, including short stories and notes in both English and Spanish, can be found here.
PhD in Computer Science, 2021
University of California Berkeley
MEng in Computer Science, 2014
Massachusetts Institute of Technology
Masters of Advance Study in Pure Mathematics, 2013
Cambridge University
Bachelors of Science in Computer Science and Theoretical Mathematics, 2012
Massachusetts Institute of Technology