Portrait of Pedro Tsividis

Pedro Tsividis

I'm the founder and CEO of Resin, where we're building generative instruments for music production. We're in beta with a small group of producers right now.

I started playing drums and piano as a toddler, and music has been the center of my life ever since. After playing a ton of classical piano throughout childhood and early adulthood, I studied jazz piano and drums at the New England Conservatory, and went on to do a PhD in cognitive science at MIT in Josh Tenenbaum's lab, where I worked on how humans learn and reason so effectively from limited experience — and how to build AI systems that can do the same. Before MIT, I studied philosophy at Columbia.

Some things I love: Chopin's third sonata, Missy Elliott collabs, eating a lamb chop on a Greek island, five on five in the park.

Experience

Founder & CEO
2024 — present
Research Scientist
Common Sense Machines
2021 — 2023
Postdoctoral Researcher
MIT CSAIL & BCS — Tenenbaum lab
2018 — 2021
Ph.D. Cognitive Science
MIT
2012 — 2018
Freelance Musician
New York
2009 — 2011
M.M. Jazz Piano
New England Conservatory
2009
B.A. Philosophy
Columbia University
2005
  1. Human-level learning of complex novel tasks as theory-based modeling, exploration and planning
    Pedro Tsividis, Joao Loula, Jake Burga, Juan Pablo Rodriguez, Sergio Arnaud, Nate Foss, Andres Campero, Ajay Subramanian, Thomas Pouncy, Samuel J. Gershman, Joshua B. Tenenbaum
    Philosophical Transactions of the Royal Society A, 2026 — Project page
  2. The Neural Architecture of Theory-based Reinforcement Learning
    Momchil Tomov, Pedro Tsividis, Thomas Pouncy, Joshua B. Tenenbaum, Samuel J. Gershman
    Neuron, 2023
  3. What is the Model in Model-Based Planning?
    Thomas Pouncy, Pedro Tsividis, Samuel J. Gershman
    Cognitive Science, 2021
  4. Learning to solve complex tasks by growing knowledge culturally across generations
    MH Tessler, Jason Madeano, Pedro Tsividis, Brin Harper, Noah D. Goodman, Joshua B. Tenenbaum
    NeurIPS 2021 Workshop on Cooperative AI — Best Paper Award
  5. Human learning in Atari
    Tsividis, P., Pouncy, T., Xu, J., Tenenbaum, J. B., Gershman, S. J.
    AAAI Spring Symposium Series, 2017
  6. Hypothesis-Space Constraints in Causal Learning
    Pedro Tsividis, Joshua B. Tenenbaum, Laura Schulz
    CogSci 2015
  7. Information Selection in Noisy Environments with Large Action Spaces
    Pedro Tsividis, Samuel J. Gershman, Joshua B. Tenenbaum, Laura Schulz
    CogSci 2014
  8. Reasoning with Inconsistent Causal Beliefs
    John V. McDonnell, Pedro Tsividis, Bob Rehder
    CogSci 2013 — Computational Modeling Prize
  9. Show more