Frontier Systems Lab · San Francisco, CA

Adam Tesar

AI Research Scientist

Building machines that reason, align, and explain themselves — bridging deep learning theory and systems that actually ship.

01 / About

Researcher building legible intelligence.

Adam Tesar is an AI research scientist working at the intersection of large language model reasoning, alignment, and efficient training. His work focuses on making capable models that are also legible — systems whose decisions can be inspected, steered, and trusted.

Before joining Frontier Systems Lab he completed a PhD in machine learning, where he studied emergent reasoning in transformer architectures and methods for scaling supervision without scaling cost. He has published at NeurIPS, ICML, and ICLR, and his open-source tools are used by research groups worldwide.

When he is not training models he writes about interpretability, mentors early-career researchers, and is generally curious about how intelligence — artificial or otherwise — actually works.

02 / Research

What I work on

03 / Publications

Selected papers

  1. NeurIPS 2025

    Featured Faithful Chain-of-Thought: Measuring When Models Mean What They Say

    A. Tesar, R. Okoye, L.Zhang

  2. ICML 2025

    Scalable Oversight via Recursive Reward Decomposition

    A. Tesar, M. Iqbal, S. Petrov

  3. ICLR 2024

    Circuits of Comparison: Interpreting Ranking Behavior in Transformers

    L. Zhang, A. Tesar, D. Mwangi

  4. NeurIPS 2023

    Less Supervision, More Signal: Distilling Reasoning at Scale

    A. Tesar, K. Andersson

  5. ICML 2023

    Grounded Representations for Vision-Language Reasoning

    S. Petrov, A. Tesar, R. Okoye

04 / Projects

Open-source & tools

OpenProbe

An open toolkit for probing and visualizing internal activations of large language models.

8k+ stars · used across 30+ research labs

EvalForge

A framework for building tamper-resistant evaluation suites for reasoning models.

Adopted by 3 frontier labs for internal evals

TinyAlign

Reference implementations of scalable-oversight methods that run on a single GPU.

Teaching tool in 5 graduate courses

05 / Contact

Let's build something intelligent.

Open to research collaborations, talks, and advising. The fastest way to reach me is email.