PeopleofSuperintelligence

Researcher

Stanislav Nikolov

Also known as Stan

Stanislav Nikolov is an AI researcher whose work spans Twitter trend forecasting, medical imaging, protein structure prediction and mathematical research. Born in Bulgaria in 1989, he grew up in Hisar, moved to New York City at eight, attended Stuyvesant and studied electrical engineering, computer science and mathematics at MIT; there, he and Devavrat Shah developed a Twitter trends algorithm in 2012. He joined DeepMind as a research engineer in 2016, coauthored 2018 retinal diagnosis research, and contributed to AlphaFold2’s 2020 result; in 2021, he was among the equally contributing authors of Nature’s AlphaFold paper and coauthored a human-proteome study. He is based in London and works on AI for mathematics; in 2025, he coauthored a paper reporting the first systematic discovery of new families of unstable singularities in fluid equations.

Works
14
Citations
50,138
h-index
8

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 1989

    From Bulgaria to Stuyvesant

    Born in Bulgaria in 1989, he grows up in Hisar until his family moves to New York City when he is eight. At Stuyvesant High School, he explores mathematics, physics and computer science.

  2. By 2012

    Twitter trends at MIT

    He studies electrical engineering, computer science and mathematics at MIT. In 2012, he and associate professor Devavrat Shah develop an algorithm that predicts trending topics with 95 percent accuracy an average of an hour and a half before Twitter’s algorithm lists them.

  3. 2013

    Forecasting Twitter trends

    With George H. Chen and Devavrat Shah, he coauthors a NIPS paper on a latent source model for time-series classification. The paper lists Twitter as his affiliation and reports that the method detects trending topics ahead of Twitter 79 percent of the time.

  4. 2016

    Research engineer at DeepMind

    He joins DeepMind as a research engineer in 2016 and initially builds computer vision systems for medical diagnosis and treatment.

  5. 2018

    Retinal disease referral study

    In 2018, he coauthors a Nature Medicine paper whose deep-learning system makes referral recommendations at or above expert performance for sight-threatening retinal diseases.

  6. 2020–2021

    AlphaFold’s protein predictions

    On the AlphaFold2 team, he helps show in 2020 that the system predicts protein structures with experimental-level accuracy. In 2021, Nature publishes “Highly accurate protein structure prediction with AlphaFold,” with Nikolov among its equally contributing authors.

  7. July 2021

    AlphaFold and the human proteome

    In July 2021, he is among the authors of a Nature study that applies AlphaFold to 98.5 percent of human proteins. Its dataset gives confident predictions for 58 percent of residues.

  8. As of October 2026

    AI for mathematics in London

    He is based in London and works on applying AI to mathematics. In September 2025, he coauthors “Discovery of Unstable Singularities,” which reports the first systematic discovery of new families of unstable singularities in fluid equations.

Career

  1. Since 2016Google DeepMindResearch engineer
  2. 2013Twitter

Education

  1. Massachusetts Institute of Technology

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

  1. The median h-index is 48 at universities and 14 at frontier AI labsIncludes Stanislav Nikolov. 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. 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.
  3. 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.
  4. 20% of people at companies who shape AI also hold a university role, led by Google and Stanford UniversityIncludes Google. We estimate that 539 of the 6,766 people with a known current organization (8%) hold both a university role and a company role, including 20% of people at companies and 13% of people at universities.

Colleagues

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

Sources and credits

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

  1. From Stuyvesant to Stockholm: A Conversation with Stanislav Nikolov ’07 stuyalumni.org. Checked 21 October 2026.
  2. Predicting what topics will trend on Twitter news.mit.edu. Checked 21 October 2026.
  3. A Latent Source Model for Nonparametric Time Series Classification arxiv.org. Checked 21 October 2026.
  4. A Latent Source Model for Nonparametric Time Series Classification (ar5iv HTML) ar5iv.org. Checked 21 October 2026.
  5. Clinically applicable deep learning for diagnosis and referral in retinal disease nature.com. Checked 21 October 2026.
  6. Highly accurate protein structure prediction with AlphaFold nature.com. Checked 21 October 2026.
  7. Highly accurate protein structure prediction for the human proteome nature.com. Checked 21 October 2026.
  8. Discovering new solutions to century-old problems in fluid dynamics deepmind.google. Checked 21 October 2026.
  9. Discovery of Unstable Singularities arxiv.org. Checked 21 October 2026.