PeopleofSuperintelligence

Researcher

Christof Henkel

Christof Henkel is a senior deep learning scientist at NVIDIA whose competition research spans computer vision, natural language processing, graph neural networks, and reinforcement learning. His papers move from protein image classification to large-scale landmark recognition and bird-call classification. He completed a mathematics doctorate at Ludwig Maximilian University of Munich and led a deep-learning startup before joining NVIDIA's Kaggle Grandmasters team. With Darragh Hanley, he won a Kaggle American Sign Language fingerspelling challenge in 2023; with NVIDIA colleagues, he coauthored the AIMO-2 winning solution and OpenMathReasoning dataset in 2025. In 2026, he coauthored an NVIDIA report on approaches to improving AI reasoning.

Now at
NVIDIA
Works
21
Citations
256
h-index
6
Badges

Publication numbers from OpenAlex, as of 19 October 2026.

Timeline

  1. 2019

    Human Protein Atlas analysis

    In 2019, he coauthors an analysis of the Human Protein Atlas Image Classification competition, which studies deep-learning models for classifying protein locations from microscopy images.

  2. 2020

    A Google Landmark win

    In 2020, with Philipp Singer, he publishes a paper on large-scale image recognition with out-of-domain samples; the method takes first place in the Google Landmark Recognition challenge.

  3. 2021

    A BirdCLEF result

    In 2021, he, Pascal Pfeiffer, and Philipp Singer publish a weakly supervised approach to bird-call classification across diverse soundscapes; their method finishes second in BirdCLEF2021.

  4. By 2023

    From math to Kaggle

    By 2023, he holds a mathematics doctorate from Ludwig Maximilian University of Munich, with a focus on probability theory and stochastic processes. He competes in about 60 Kaggle competitions, first while leading a deep-learning startup and later as an NVIDIA employee. He is a member of NVIDIA's Kaggle Grandmasters team.

  5. 2023

    Recognizing fingerspelled signs

    In 2023, with Darragh Hanley, he wins a Kaggle contest for American Sign Language fingerspelling. Their winning model adapts end-to-end speech-recognition AI and uses data augmentation on more than 3 million fingerspelled characters.

  6. 2025

    Mathematical reasoning with AIMO-2

    In 2025, he coauthors the AIMO-2 winning solution and OpenMathReasoning dataset, which contains 540,000 math problems and 3.2 million long-reasoning solutions. The NVIDIA team incorporates competition work into NeMo-Skills pipelines and directs its $262,144 prize to the NVIDIA Foundation.

  7. 2026

    A report on AI reasoning

    In July 2026, he coauthors an NVIDIA report on approaches to improving AI reasoning through the Nemotron Model Reasoning Challenge. The challenge draws over 5,000 participants across 4,000 teams.

  8. As of October 2026

    Senior deep learning scientist

    As of October 2026, he is a senior deep learning scientist at NVIDIA and a member of its Kaggle Grandmaster team. His main interests include research competitions in computer vision, natural language processing, graph neural networks, and reinforcement learning.

Career

  1. Since 2020NVIDIASenior deep learning scientist

Education

  1. LMU MunichDoctorate

From the biography and OpenAlex affiliations (the years of papers that list the organization), so some years are approximate.

Most-cited works

  1. Analysis of the Human Protein Atlas Image Classification competition2019 · Nature Methods · 131 citations
  2. Analysis of the Human Protein Atlas Weakly Supervised Single-Cell Classification competition2022 · Nature Methods · 37 citations
  3. Ribonanza: deep learning of RNA structure through dual crowdsourcing2024 · 34 citations
  4. GPU Accelerated Feature Engineering and Training for Recommender Systems2020 · 21 citationsWith Benedikt Schifferer
  5. Efficient large-scale image retrieval with deep feature orthogonality and Hybrid-Swin-Transformers2021 · 7 citations

From OpenAlex, as of 19 October 2026.

  1. 14% of AI career moves in the 2020s went from a university to a companyIncludes Christof Henkel. 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 named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

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

  1. Analysis of the Human Protein Atlas Image Classification competition nature.com. Checked 19 October 2026.
  2. Supporting large-scale image recognition with out-of-domain samples arxiv.org. Checked 19 October 2026.
  3. Recognizing bird species in diverse soundscapes under weak supervision arxiv.org. Checked 19 October 2026.
  4. Author: Christof Henkel | NVIDIA Technical Blog developer.nvidia.com. Checked 19 October 2026.
  5. NVIDIAN Wins Kaggle AI Contest for Sign Language Recognition blogs.nvidia.com. Checked 19 October 2026.
  6. AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset arxiv.org. Checked 19 October 2026.
  7. NVIDIA Team Scores Kaggle Win With Reasoning Model blogs.nvidia.com. Checked 19 October 2026.
  8. Lessons From the Leaderboard: What 5,000+ Kagglers Taught Us About Improving AI Reasoning developer.nvidia.com. Checked 19 October 2026.