PeopleofSuperintelligence

Researcher

Alexander Gammerman

Also known as Alex Gammerman

Alexander Gammerman is a machine-learning researcher whose work includes conformal prediction. He held research posts in St Petersburg and Edinburgh, then took a computer-science chair at Royal Holloway and became co-director of its Centre for Machine Learning. With Craig Saunders and Vladimir Vovk, he presented a confidence-and-credibility paper at IJCAI in 1999 and coauthored Algorithmic Learning in a Random World with Vovk and Glenn Shafer in 2005. He received an Amazon Research Award in 2020 for conformal martingales, studied conformal change detection in 2025, and is a professor of computer science at Royal Holloway as of October 2026.

Works
192
Citations
6,687
h-index
36
Badges

Publication numbers from OpenAlex, as of 18 October 2026.

Timeline

  1. 1974–1993

    Research in St Petersburg and Edinburgh

    He works as a senior research fellow at the Regional Research Computer Centre in St Petersburg from 1974 to 1983, then joins Heriot-Watt University in Edinburgh as a reader in computer science from 1983 to 1993.

  2. 1993–2005

    A chair in computer science

    He holds a chair in computer science at the University of London from 1993 and heads Royal Holloway's Computer Science Department from 1995 to 2005.

  3. 1998

    Co-directing a machine-learning centre

    He becomes co-director of Royal Holloway's Centre for Machine Learning in 1998.

  4. 1999

    Confidence and credibility at IJCAI

    In 1999, he presents “Transduction with Confidence and Credibility” with Craig Saunders and Volodya Vovk in IJCAI's Support Vector Machines session.

  5. 2005

    Algorithmic Learning in a Random World

    In 2005, he coauthors Algorithmic Learning in a Random World with Vladimir Vovk and Glenn Shafer, a book about conformal prediction and reliable machine-learning predictions.

  6. 2020

    An Amazon Research Award

    He receives an Amazon Research Award in 2020 for the project “Conformal Martingales for Change-Point Detection,” which aims to detect changes in observed data.

  7. 2025

    A conformal CUSUM procedure

    In 2025, he and Vladimir Vovk and Ilia Nouretdinov study a conformal CUSUM procedure for detecting changes in data and analyze its validity and efficiency.

  8. As of October 2026

    Professor at Royal Holloway

    He is a professor of computer science at Royal Holloway and is affiliated with its Centre for Machine Learning and Centre for Reliable Machine Learning.

A language model matched the links in this timeline to people, organizations and papers (provisional, model-judged).

Career

  1. Since 1995Royal Holloway University of LondonHead of Department, Co-director
  2. 1993–1995University of LondonChair in Computer Science
  3. 1983–1993Heriot-Watt UniversityReader in Computer Science
  4. 1974–1983Regional Research Computer CentreSenior Research Fellow

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

Most-cited works

  1. Algorithmic Learning in a Random World2005 · Springer eBooks · 1,109 citations
  2. Ridge Regression Learning Algorithm in Dual Variables1998 · 810 citations
  3. Inductive Confidence Machines for Regression2002 · Lecture notes in computer science · 327 citations
  4. Learning by Transduction2013 · 311 citationsWith Vladimir Vapnik
  5. Autoantibodies to aberrantly glycosylated MUC1 in early stage breast cancer are associated with a better prognosis2011 · Breast Cancer Research · 211 citations

From OpenAlex, as of 18 October 2026.

  1. The company share of AI researchers’ top papers rose from 2% to 32%Includes Royal Holloway University of London. We estimate where leading AI researchers worked when their most-cited papers appeared. The company share rose from 2% in 1975–1979 to 32% in 2020–2024.
  2. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes University of London. Our estimates of where the people shaping AI studied and where their careers led, from education records in cited biographies.
  3. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI from 1962 to 2025, with a year-by-year chart.
  4. The United States employs an estimated 53% of people in our data with a known employment countryOur estimates of where AI careers are concentrated now and how countries’ shares of dated positions changed over time.

Colleagues

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

Sources and credits

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  1. Prof Alex Gammerman Web Page gammerman.cs.rhul.ac.uk. Checked 18 October 2026.
  2. IJCAI-99 Technical papers ijcai.org. Checked 18 October 2026.
  3. Vovk, Gammerman and Shafer ‘Algorithmic learning in a random world’ alrw.net. Checked 18 October 2026.
  4. Amazon Research Award for Prof. Alex Gammerman royalholloway.ac.uk. Checked 18 October 2026.
  5. Validity and efficiency of the conformal CUSUM procedure proceedings.mlr.press. Checked 18 October 2026.
  6. Alex Gammerman - Royal Holloway Research Portal pure.royalholloway.ac.uk. Checked 18 October 2026.