PeopleofSuperintelligence

Researcher

Erik Mueller

Also known as Erik T. Mueller

Erik Mueller is a computer scientist whose AI work spans models of human thought, commonsense reasoning, question answering and clinical AI. His 1990 book presented a computer model of human daydreaming for creative problem solving and learning, and he earned an S.B. in computer science and engineering from MIT plus M.S. and Ph.D. degrees in computer science from UCLA. He was a member of IBM’s Watson team, whose question-answering system won on Jeopardy! The team received the 2013 AAAI Feigenbaum Prize, and Mueller coauthored work on clinical decision support and WatsonPaths. As of October 2026, he is VP of Knowledge Technologies at Tempus AI.

Links
Website, Google Scholar and GitHub

Timeline

  1. 1990

    A computer model of daydreaming

    In 1990, computer scientist Erik Mueller publishes Daydreaming in Humans and Machines, a computer model of human daydreaming for creative problem solving and learning. He holds an S.B. in computer science and engineering from MIT and M.S. and Ph.D. degrees in computer science from UCLA.

  2. 2006

    Commonsense Reasoning

    In 2006, he publishes Commonsense Reasoning, which uses event calculus to formalize commonsense reasoning.

  3. 2013

    Watson earns the Feigenbaum Prize

    Mueller is a member of the IBM team behind Watson, whose question-answering system wins on Jeopardy! In 2013, the team receives the AAAI Feigenbaum Prize for combining symbolic knowledge representation, natural-language understanding and statistical machine learning for real-time factual question answering. He coauthors a 2013 paper on adapting Watson’s DeepQA technology for evidence-based clinical decision support.

  4. 2017

    WatsonPaths for medical questions

    In 2017, he coauthors a description of WatsonPaths, a system for scenario-based questions such as patient cases that ask for a diagnosis or treatment. The system breaks scenarios into subquestions and uses probabilistic inference over a graphic model; it improves accuracy on medical test-preparation questions over multiple baselines.

  5. As of October 2026

    VP of Knowledge Technologies

    As of October 2026, he is VP of Knowledge Technologies at Tempus AI, where his work includes developing and deploying deep-learning models.

  1. Google had the most people shaping AI every year from 2014 to 2025Our estimates of which organizations employed the most people shaping AI from 1961 to 2025, with a year-by-year chart.
  2. 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.
  3. 46% of living people in our data with known birth and employment countries work outside their birth countryOur estimate of cross-border careers in AI, from country of birth and the country of each current organization.
  4. More people shaping AI studied at Massachusetts Institute of Technology than at any other institutionOur estimates of where the people shaping AI studied and where their careers led, from education records in cited biographies.

Sources and credits

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  1. Overview ‹ Erik Mueller — MIT Media Lab media.mit.edu. Checked 19 October 2026.
  2. Daydreaming in Humans and Machines: A Computer Model of the Stream of Thought books.google.com. Checked 19 October 2026.
  3. Commonsense Reasoning - 1st Edition | Elsevier Shop shop.elsevier.com. Checked 19 October 2026.
  4. AAAI Feigenbaum Prize - AAAI aaai.org. Checked 19 October 2026.
  5. Watson: Beyond jeopardy! for Artificial Intelligence - IBM Research research.ibm.com. Checked 19 October 2026.
  6. Watsonpaths: Scenario-based question answering and inference over unstructured information for AI Magazine - IBM Research research.ibm.com. Checked 19 October 2026.
  7. Erik Mueller - Vp, Knowledge Technologies at Tempus Labs | The Org theorg.com. Checked 19 October 2026.