PeopleofSuperintelligence

Researcher

Chris Adami

Also known as Christoph Adami, Christoph C. Adami

Chris Adami is an artificial-life researcher whose Avida program brought evolving digital organisms into AI research. He earned a theoretical nuclear physics PhD at Stony Brook in 1991 and joined Steven Koonin’s Caltech lab as a Division Prize Fellow in 1992. At Caltech, he developed Avida and used digital organisms to study how mutation and natural selection produce complex traits. He worked in theoretical physics at JPL in 2003, was a professor at Keck Graduate Institute in 2004, and was a professor at MSU by 2017. He published a book about biological information in 2024; in July 2026, he and Ankit Gupta showed how AI can mistake nonliving Avida programs for life, and as of October 2026 he is core faculty in MSU’s Ecology, Evolution, and Behavior program.

Works
316
Citations
13,098
h-index
52
Badges

Publication numbers from OpenAlex, as of 19 October 2026.

Timeline

  1. 1991–1995

    A doctorate and Caltech fellowship

    He graduates from the European School of Brussels I, earns a physics Diplom at Bonn, and completes a theoretical nuclear physics PhD at Stony Brook in 1991. In 1992, he joins Steven E. Koonin’s Caltech lab as a Division Prize Fellow.

  2. 1993–1999

    Avida and digital evolution

    In 1993, he devises Avida at Caltech, a software platform for evolving digital organisms. In 1999, he and colleagues show that digital organisms can adapt through natural selection and that interacting mutations can raise complex organisms’ fitness beyond predictions from individual mutations.

  3. 2003–2017

    JPL, Keck and Michigan State

    In 2003, he works in theoretical physics at the Jet Propulsion Laboratory at Caltech. In 2004, he is a professor of applied life sciences at Keck Graduate Institute; by 2017, he is an MSU professor of physics and astronomy, microbiology and molecular genetics.

  4. 2017

    An American Physical Society fellowship

    The American Physical Society names him a 2017 Fellow for developing digital experiments to study evolution and applying information theory to biological systems.

  5. 2019

    A lifetime achievement award

    The International Society for Artificial Life gives him its 2019 Lifetime Achievement Award.

  6. 2024

    A book on biological information

    In 2024, he publishes The Evolution of Biological Information: How Evolution Creates Complexity, from Viruses to Brains, with Princeton University Press and explains biological evolution through information theory.

  7. July 2026

    Testing AI with digital life

    In July 2026, he and Ankit Gupta test AI with Avida programs and show that small changes can fool a model into classifying nonlife as life.

  8. As of October 2026

    Core faculty at Michigan State

    As of October 2026, he is a core faculty member in Michigan State’s Ecology, Evolution, and Behavior Program.

Career

  1. Since 2009Michigan State UniversityProfessor of physics and astronomy, microbiology and molecular genetics
  2. 2004–2016Keck Graduate InstituteProfessor of applied life sciences
  3. 2003–2005NASA
  4. 1992–1995California Institute of TechnologyDivision Prize Fellow

Education

  1. 1991Stony Brook UniversityPhD in theoretical nuclear physics
  2. University of BonnPhysics Diplom

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

Most-cited works

  1. Why highly expressed proteins evolve slowly2005 · Proceedings of the National Academy of Sciences · 814 citations
  2. The evolutionary origin of complex features2003 · Nature · 754 citationsWith Charles Ofria
  3. Evolution of digital organisms at high mutation rates leads to survival of the flattest2001 · Nature · 636 citationsWith Charles Ofria
  4. Evolution of biological complexity2000 · Proceedings of the National Academy of Sciences · 599 citationsWith Charles Ofria
  5. Negative Entropy and Information in Quantum Mechanics1997 · Physical Review Letters · 461 citations

From OpenAlex, as of 19 October 2026.

  1. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionIncludes Michigan State University. Our estimates of where the people shaping AI studied and where their careers led, from education records in cited biographies.
  2. The company share of AI researchers’ top papers rose from 2% to 32%Includes Michigan State University. 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.
  3. Google has the highest combined h-index among AI organizationsIncludes Michigan State University. Our estimates of combined and median h-index at AI organizations, using current affiliations and OpenAlex records.
  4. Stanford University trained or employed 20 of the 89 AI major-prize winners, more than any other universityIncludes California Institute of Technology. Stanford University trained or employed 20 of the 89 AI major-prize winners, more than any other university. We compare doctorate and employment links for major-prize and best-paper winners.

Colleagues

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

Sources and credits

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

  1. Chris Adami en.wikipedia.org. Checked 19 October 2026.
  2. Digital Evolution journals.plos.org. Checked 19 October 2026.
  3. Should we trust AI in the search for alien life? Scientists aren’t so sure space.com. Checked 19 October 2026.
  4. Researchers mutate digital organisms caltech.edu. Checked 19 October 2026.
  5. Digital Evolution Reveals The Many Ways To Get To Diversity sciencedaily.com. Checked 19 October 2026.
  6. MSU professor named American Physical Society Fellow msutoday.msu.edu. Checked 19 October 2026.
  7. 2019 ISAL Awards Winners alife.org. Checked 19 October 2026.
  8. The Evolution of Biological Information: How Evolution Creates Complexity, from Viruses to Brains books.google.com. Checked 19 October 2026.
  9. It’s disturbingly easy to trick AI into seeing aliens msutoday.msu.edu. Checked 19 October 2026.