Builder

Adam Lerer

Also known as Adam K. Lerer

Adam Lerer is an AI engineer whose work spans molecular dynamics computing, deep-learning tools, game-playing agents, and protein design. At MIT, he earns degrees in computer science and physics and develops software for Anton supercomputers. He later joins Facebook AI Research, where he co-leads the Diplomacy team behind CICERO and builds agents for poker, Hanabi, and no-press Diplomacy. He develops PyTorch-Big-Graph as a member of the original PyTorch developer team; his papers on protein inverse folding and no-press Diplomacy receive awards at ICML 2022 and ICLR 2023. As of October 2026, he is a Member of Technical Staff at OpenAI.

Now at
OpenAI
Works
63

Publication numbers from OpenAlex, as of 14 October 2026. Citations and h-index are hidden because this OpenAlex record may be incomplete or mix in other authors.

Photo of Adam Lerer

Timeline

  1. Before 2015

    From MIT to Anton

    At MIT, he earns a B.S. in computer science and physics and an M.Eng. in computer science. Before Facebook AI Research, he develops software and algorithms for Anton at D. E. Shaw Research, a special-purpose supercomputer for molecular dynamics.

  2. 2015–2023

    Building Diplomacy agents

    At Facebook AI Research, he works as a research engineer and co-leads the FAIR Diplomacy team behind CICERO, a human-level AI for Diplomacy. The team develops agents for poker, Hanabi, and no-press Diplomacy. He develops PyTorch-Big-Graph, an open-source package for large-scale multi-relation graph embeddings, and joins the original PyTorch developer team.

  3. 2022

    Learning protein sequences

    He coauthors a paper that predicts protein sequences from backbone coordinates and expands training data with 12 million AlphaFold2-predicted structures. The paper receives ICML 2022 Outstanding Paper Runner Up.

  4. 2023

    Planning for human play

    With Anton Bakhtin and colleagues, he coauthors a paper on human-regularized reinforcement learning and planning for no-press Diplomacy. The paper receives ICLR 2023 Honorable Mention.

  5. As of October 2026

    Joining OpenAI

    He is a Member of Technical Staff at OpenAI.

Sources and credits

Photo: adamlerer.github.io; Adam Lerer; creator not stated. License: Not stated by source. Source: adamlerer.github.io. Cropped to a square and resized. Ask us to remove or replace this photo.

  1. Adam Lerer adamlerer.github.io. Checked 14 October 2026.
  2. Facebook AI Research: Learning Physical Intuition by Example blog.re-work.co. Checked 14 October 2026.
  3. PyTorch: An Imperative Style, High-Performance Deep Learning Library proceedings.neurips.cc. Checked 14 October 2026.
  4. Learning inverse folding from millions of predicted structures proceedings.mlr.press. Checked 14 October 2026.
  5. ICML 2022 Awards icml.cc. Checked 14 October 2026.
  6. ICLR 2023 Awards iclr.cc. Checked 14 October 2026.