PeopleofSuperintelligence

Researcher

Michalina Pacholska

Also known as Michalina Wanda Pacholska

Michalina Pacholska is a research scientist whose work connects signal processing with protein structure prediction and agent-based models. She completed a PhD at EPFL's LCAV in 2021 after earning a mathematics master's degree with a specialization in topology and set theory. Her papers range from continuous localization to the 2021 Nature AlphaFold study, Lippmann colour photography and genetic programming for interpretable agent logic. She posted the first part of The Backup in May 2022 and wrote in 2023 about ways AI can support visual artists. As of October 2026, she is a research scientist at Cosimmetry, where she works on Automated Resilient Cyber Defence projects.

Now at
Cosimmetry
Works
17
Citations
43,868
h-index
6
Badges

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 2018–2020

    Range-only continuous localization

    With Frederike Duembgen and Adam Scholefield, she holds the 2018 copyright on code for continuous localization from sparse range measurements, with recovery guarantees. In 2020, their paper, ‘Relax and Recover: Guaranteed Range-Only Continuous Localization’, appears in IEEE Robotics and Automation Letters.

  2. July 2021

    AlphaFold in Nature

    The July 2021 Nature paper on AlphaFold lists her with a DeepMind London affiliation; she contributes as a doctoral student at EPFL's LCAV. The paper presents the first computational method that regularly predicts protein structures with atomic accuracy even where no similar structure is known.

  3. September 2021

    Doctoral thesis on geometry and colour

    She defends her PhD thesis, ‘Sampling Geometry and Colour’, in computer and communication sciences at EPFL's LCAV in September 2021 and receives her diploma in October 2021. The thesis studies the mathematics of localization and the physics of colour photography. She holds a mathematics master's degree with a specialization in topology and set theory.

  4. May 2022

    The Backup webcomic

    In May 2022, she posts the first part of her webcomic The Backup to mark Webcomic Day.

  5. July 2022

    Lippmann photography as signal processing

    In July 2022, she coauthors ‘Lippmann Photography: A Signal Processing Perspective’ with Gilles Baechler, Arnaud Latty, Adam Scholefield and Martin Vetterli. The paper derives a mathematical model of Lippmann colour photography and validates it in experiments on the authors' own photographs.

  6. March 2023

    Learning interpretable agent logic

    In March 2023, she coauthors the JASSS paper ‘Learning Interpretable Logic for Agent-Based Models from Domain Independent Primitives’ with Rory Greig, Chris Major, Sebastian Bending and Jordi Arranz. The paper uses genetic programming to evolve interpretable agent logic for flocking and opinion-dynamics models.

  7. May 2023

    Automating the wrong thing

    In May 2023, she publishes Cosimmetry’s essay “Automating the wrong thing”, which argues that AI tools should support artists with the laborious, repetitive parts of making comics.

  8. As of October 2026

    Research scientist at Cosimmetry

    As of October 2026, she is a research scientist at Cosimmetry, where she leads AI/ML strategy and contributes to software development for products that connect data and AI with human decision-making. In January 2023, she joins the company from Improbable and works on its Automated Resilient Cyber Defence projects.

Career

  1. NowCosimmetryResearch scientist
  2. 2021Google DeepMind

Education

  1. 2021EPFLDoctoral degree

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. Applying and improving AlphaFold at CASP142021 · Proteins Structure Function and Bioinformatics · 397 citationsWith Alex Bridgland, Alexander Pritzel, Andrew W. Senior, Anna Potapenko, Augustin Žídek and Bernardino Romera-Paredes
  3. Relax and Recover: Guaranteed Range-Only Continuous Localization2020 · IEEE Robotics and Automation Letters · 20 citations
  4. Learning Interpretable Logic for Agent-Based Models from Domain Independent Primitives2023 · Journal of Artificial Societies and Social Simulation · 9 citations
  5. Sampling at Unknown Locations: Uniqueness and Reconstruction Under Constraints2018 · IEEE Transactions on Signal Processing · 9 citations

From OpenAlex, as of 21 October 2026.

  1. The median h-index is 48 at universities and 14 at frontier AI labsIncludes Michalina Pacholska. 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. 16% of AI career moves in the 2020s went from a university to a companyIncludes Michalina Pacholska. We estimate that 16% of AI career moves in the 2020s went from a university to a company; 29% of moves starting at a university went to a company, and 76% ended the university role.
  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 Michalina Pacholska yet. Send us a free-licensed photo.

  1. GitHub - LCAV/continuous-localization: Code of paper ‘Relax and Recover: Guaranteed Range-Only Continuous Localization’ github.com. Checked 21 October 2026.
  2. Highly accurate protein structure prediction with AlphaFold - Nature nature.com. Checked 21 October 2026.
  3. Congratulations to Michalina Pacholska - EPFL actu.epfl.ch. Checked 21 October 2026.
  4. Congratulations to Michalina Pacholska - EPFL actu.epfl.ch. Checked 21 October 2026.
  5. SP & Friends lcav25.info. Checked 21 October 2026.
  6. Michalina Pacholska · Cosimmetry cosimmetry.co.uk. Checked 21 October 2026.
  7. Michalina Pacholska Homepage micha7a.github.io. Checked 21 October 2026.
  8. Lippmann Photography: A Signal Processing Perspective - arXiv arxiv.org. Checked 21 October 2026.
  9. Learning Interpretable Logic for Agent-Based Models from Domain Independent Primitives - JASSS jasss.org. Checked 21 October 2026.
  10. Automating the wrong thing · Cosimmetry cosimmetry.co.uk. Checked 21 October 2026.
  11. Michalina Pacholska - Research Scientist at Cosimmetry | The Org theorg.com. Checked 21 October 2026.