PeopleofSuperintelligence

Researcher

Darragh Hanley

Darragh Hanley is an AI researcher and coauthor of the winning AIMO-2 report on large language models for mathematical reasoning. His education includes a bachelor's in math and engineering from Trinity College Dublin and a Stanford graduate certificate in Data Mining and Applications; from 2019 to 2021 he taught Berkeley's Data Science 251 course on deep learning in the cloud and at the edge. In April 2025, he coauthored a report describing OpenMathReasoning's 540,000 math problems, 3.2 million long-reasoning solutions, and 1.7 million tool-integrated reasoning solutions; in November 2025, he coauthored NVIDIA's guide to faster math-model inference. As of October 2026, he is a Senior LLM Technologist on NVIDIA's Kaggle Grandmasters team.

Now at
NVIDIA
Badges

Timeline

  1. 2019–2021

    Teaching deep learning at Berkeley

    At Berkeley's School of Information, he teaches Data Science 251, Deep Learning in the Cloud and at the Edge, from 2019 through 2021. His qualifications include a bachelor's in math and engineering from Trinity College Dublin and a graduate certificate in Data Mining and Applications from Stanford University.

  2. April 2025

    Winning the AIMO-2 prize

    On NVIDIA's NemoSkills team, he wins the AI Mathematical Olympiad Progress Prize 2 in April 2025. The team's reasoning model solves 34 of 50 Olympiad problems within five hours on four NVIDIA L4 GPUs.

  3. April 2025

    OpenMathReasoning dataset

    In April 2025, he coauthors the report on the winning AIMO-2 submission and the OpenMathReasoning dataset. The dataset contains 540,000 unique high-quality math problems, 3.2 million long-reasoning solutions, and 1.7 million tool-integrated reasoning solutions; the team releases its code, models, and dataset for further research.

  4. November 2025

    Faster math-model inference

    In November 2025, he coauthors NVIDIA's guide to faster math-model inference. He is a senior LLM technologist on NVIDIA's applied agent research team, where he works on autonomous reasoning and multi-agent collaboration frameworks.

  5. As of October 2026

    A senior LLM technologist

    As of October 2026, he is a Senior LLM Technologist on NVIDIA's Kaggle Grandmasters team.

Career

  1. NowNVIDIASenior LLM Technologist
  2. 2019–2021University of California, Berkeley

Education

  1. Trinity College DublinBachelor's in math and engineering

From the biography.

  1. 14% of AI career moves in the 2020s went from a university to a companyIncludes Darragh Hanley. Our estimates of how university-to-company career transitions changed by decade, including roles added alongside an earlier job.
  2. Google alumni founded or led 87 other organizations, the most among the labs we compareIncludes NVIDIA. We trace 212 organizations founded or led by AI lab alumni, and 223 career moves between the labs.
  3. 44% of AI career moves go from one university to anotherIncludes NVIDIA. We estimate how 14,272 AI career moves link universities, companies, labs and government research centers, with net flows and the most common paths.
  4. Google has the highest combined h-index among AI organizationsIncludes NVIDIA. Our estimates of combined and median h-index at AI organizations, using current affiliations and OpenAlex records.

Colleagues

People with dated positions at the same organization in the same years.

Sources and credits

Photo: We have no published photo of Darragh Hanley yet. Send us a free-licensed photo.

  1. Darragh Hanley | UC Berkeley School of Information ischool.berkeley.edu. Checked 19 October 2026.
  2. NVIDIA Team Scores Kaggle Win With Reasoning Model blogs.nvidia.com. Checked 19 October 2026.
  3. AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset arxiv.org. Checked 19 October 2026.
  4. How to Achieve 4x Faster Inference for Math Problem Solving developer.nvidia.com. Checked 19 October 2026.
  5. Meet The Kaggle Grandmasters (KGMoN) Team nvidia.com. Checked 19 October 2026.