Aldo Pacchiano

Eric and Wendy Schmidt Center Fellow / Faculty

Broad Institute / Boston University

I am affiliated with the Broad Institute of MIT and Harvard and the Boston University Center for Computing and Data Sciences. 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.


  • Online Learning
  • Reinforcement Learning
  • Deep Reinforcement Learning
  • Algorithmic Fairness


  • 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