PeopleofSuperintelligence

Researcher

Sebastian Bodenstein

Sebastian Bodenstein is a machine-learning research engineer at Google DeepMind whose work links neural-net software, protein structure prediction and plasma simulation. He earned a BSc in mathematics and physics and a PhD in theoretical physics at the University of Cape Town, then helped create Wolfram’s neural-net framework and repository. He coauthored DeepMind’s 2021 AlphaFold paper, contributed to Google DeepMind’s 2024 AlphaFold 3 release and contributed to Google DeepMind’s 2025 fusion research partnership. In 2026, workshop and conference programs list him for TORAX, language-model and biological-discovery sessions.

Works
21
Citations
63,225
h-index
10
Rankings
#66 by citations since 2021
Badges

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 2007–2014

    Degrees at Cape Town

    He earns a BSc in mathematics and physics at the University of Cape Town in 2007 and a PhD in theoretical physics there in 2014.

  2. 2018

    Wolfram neural-net tools

    In June 2018, Wolfram launches its Neural Net Repository and credits him as a machine-learning contributor. As a machine-learning research engineer, he is one of two main creators of the Mathematica Neural Net Framework and leads repository development.

  3. 2021

    AlphaFold protein predictions

    He coauthors the 2021 AlphaFold paper with a DeepMind affiliation. Its neural-network method regularly predicts protein structures with atomic accuracy, including cases without similar known structures.

  4. 2024

    Contributing to AlphaFold 3

    In 2024, the AlphaFold 3 repository lists him among its contributors, provides an inference pipeline and cites the paper on biomolecular interactions.

  5. October 2025

    AI for fusion energy

    Google DeepMind and Commonwealth Fusion Systems announce a research partnership in October 2025 and name him among contributors. The team combines TORAX, a fast and differentiable plasma simulator, with reinforcement learning or evolutionary search to explore tokamak scenarios.

  6. June 2026

    Building TORAX in JAX

    In June 2026, the Strasbourg workshop program lists him and Anushan Fernando with Google DeepMind for a talk on building TORAX with JAX for plasma-physics simulation.

  7. August 2026

    The AI Research Foundations quiz

    The August 2026 Deep Learning Indaba program lists him among presenters of “Tokens, Transformers and Trivia,” a quiz about modern language models from tokenization to fine-tuning.

  8. As of October 2026

    Google DeepMind research engineer

    He is a machine-learning research engineer at Google DeepMind, where he works on protein folding. The Deep Learning Indaba program lists him among presenters of a tutorial on AI agents for biological discovery.

Career

  1. 2021–2024Google DeepMind
  2. From 2018Wolfram ResearchMachine-learning research engineer

Education

  1. 2014University of Cape TownPhD
  2. 2007University of Cape TownBSc

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

Most-cited works

  1. Highly accurate protein structure prediction with AlphaFold2021 · Nature · 43,443 citationsWith Alex Bridgland, Alexander Pritzel, Andrew W. Senior, Anna Potapenko, Augustin Žídek and Bernardino Romera-Paredes
  2. Accurate structure prediction of biomolecular interactions with AlphaFold 32024 · Nature · 15,549 citationsWith Alex Bridgland, Alexander Pritzel, Anna Potapenko, Augustin Žídek, David Reiman and Demis Hassabis
  3. Protein complex prediction with AlphaFold-Multimer2021 · 3,783 citationsWith Alex Bridgland, Alexander Pritzel, Andrew W. Senior, Anna Potapenko, Augustin Žídek and Demis Hassabis
  4. Addendum: Accurate structure prediction of biomolecular interactions with AlphaFold 32024 · Nature · 341 citationsWith Alex Bridgland, Alexander Pritzel, Anna Potapenko, Augustin Žídek, David Reiman and Demis Hassabis
  5. QCD sum rule determination of the charm-quark mass2011 · Physical review. D. Particles, fields, gravitation, and cosmology/Physical review. D. Particles and fields · 39 citations

From OpenAlex, as of 21 October 2026.

  1. The median h-index is 48 at universities and 14 at frontier AI labsIncludes Sebastian Bodenstein. The median h-index is 48 at universities and 14 at frontier AI labs. We compare publishing careers, recent citations, dual appointments and job moves across 2,420 university researchers and 308 frontier-lab researchers.
  2. 5 of the 25 people with the most-cited recent papers also lead on career citationsIncludes Sebastian Bodenstein. We compare citations to 2023–2025 papers with career citations and h-index, after correcting reviewed publication-date errors: who leads, when they started and where they work.
  3. Google had the most people shaping AI every year from 2014 to 2025Includes Google. Our estimates of which organizations employed the most people shaping AI each year from 1955 to 2025, tracing the shift from university labs to companies.
  4. Google has the highest combined h-index among AI organizationsIncludes Google. We estimate that Google holds the highest combined h-index at 8,016, while universities account for 73% of the deduplicated total across AI organizations.

Colleagues

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

Sources and credits

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

  1. Sebastian Bodenstein — Machine Learning Research Engineer deft-cactus-f01383.netlify.app. Checked 21 October 2026.
  2. Launching the Wolfram Neural Net Repository blog.wolfram.com. Checked 21 October 2026.
  3. Highly accurate protein structure prediction with AlphaFold nature.com. Checked 21 October 2026.
  4. google-deepmind/alphafold3: AlphaFold 3 inference pipeline github.com. Checked 21 October 2026.
  5. Bringing AI to the next generation of fusion energy deepmind.google. Checked 21 October 2026.
  6. Workshop on Machine Learning and Automatic Differentiation in JAX for Scientific Computing majsc2026.pages.math.unistra.fr. Checked 21 October 2026.
  7. Google at Deep Learning Indaba 2026 research.google. Checked 21 October 2026.