PeopleofSuperintelligence

Researcher

Edward Epstein

Also known as Eddie Epstein

Edward Epstein is an AI researcher whose work connects IBM Watson question answering with software vulnerability detection. In 2010, he contributed to Watson's DeepQA system and helped scale its computation for Jeopardy in 2012. The IBM Watson team shared the 2013 AAAI Feigenbaum Prize with him, and he coauthored the D2A vulnerability dataset in 2021. He coauthored work on fault-tolerant cloud actors in 2023 and a D2A study using machine-learning and deep-learning models in 2024, while affiliated with IBM.

Timeline

  1. 2010

    IBM's DeepQA team

    In 2010, he contributes to IBM's team developing Watson and its DeepQA architecture for question answering.

  2. 2012

    Scaling Watson across cores

    In 2012, he scales Watson's computation across thousands of cores for live Jeopardy games and manages the IBM team developing Apache UIMA, which Watson uses.

  3. 2013

    The AAAI Feigenbaum Prize

    He shares the 2013 Feigenbaum Prize with the IBM Watson team for showing that symbolic knowledge representation, natural-language understanding, and statistical machine learning can achieve human-level performance in real-time factual question-answering.

  4. 2021

    The D2A vulnerability dataset

    In 2021, he coauthors D2A, a dataset designed to train models for software vulnerability identification from static-analysis findings.

  5. 2023

    Reliable actors for cloud software

    In 2023, he coauthors a fault-tolerant cloud programming model based on actors, retry orchestration, and tail calls.

  6. 2024

    Machine learning for D2A

    In 2024, he coauthors a D2A study using classic machine-learning and deep-learning models for vulnerability identification. He is IBM-affiliated at publication time.

  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. The AI Behind Watson: The Technical Article aaai.org. Checked 19 October 2026.
  2. System Administration of the IBM Watson Supercomputer linuxjournal.com. Checked 19 October 2026.
  3. AAAI Feigenbaum Prize aaai.org. Checked 19 October 2026.
  4. D2A: A Dataset Built for AI-Based Vulnerability Detection Methods Using Differential Analysis research.ibm.com. Checked 19 October 2026.
  5. Reliable Actors with Retry Orchestration for PLDI 2023 research.ibm.com. Checked 19 October 2026.
  6. Analyzing source code vulnerabilities in the D2A dataset with ML ensembles and C-BERT research.ibm.com. Checked 19 October 2026.