PeopleofSuperintelligence

Researcher

Mark H. Dredze

Also known as Mark Harel Dredze

Mark Dredze is an AI researcher at Johns Hopkins University whose natural language processing work spans public health, medicine and finance. He coauthored a 2007 paper on domain adaptation for sentiment classification with John Blitzer and Fernando Pereira, then completed a University of Pennsylvania doctorate under Pereira and joined the Johns Hopkins computer science faculty, both in 2009. In 2011, his team released one of the first and most comprehensive studies showing that Twitter data can yield public health information, including forecasts of seasonal flu, and in 2019 he received a writing award from the Foundation for the Advancement of Health Education for the paper "Weaponized Health Communication". In 2023, he was part of the team that built BloombergGPT and co-led a JAMA Internal Medicine study comparing physician and chatbot responses to patient questions. Since November 2025, he is the inaugural director of the Johns Hopkins Data Science and AI Institute, and he is the Malone Professor of Computer Science.

Timeline

  1. 2003–2009

    A Penn PhD under Pereira

    He earns dual B.S. degrees in computer science and computer engineering at Northwestern University in 2003 and an M.A. in Modern Jewish History at Yeshiva University in 2004. He completes a Ph.D. under Fernando Pereira at the University of Pennsylvania and joins the Johns Hopkins computer science faculty, both in 2009.

  2. 2007

    Domain adaptation for sentiment

    In 2007, he coauthors "Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification" with John Blitzer and Fernando Pereira, published at ACL in Prague. Domain adaptation is among the core techniques he develops in artificial intelligence.

  3. 2011

    Twitter for public health

    In 2011, he leads a team that releases one of the first and most comprehensive studies showing that Twitter data can yield actionable public health information, including forecasts of seasonal flu in the United States. With Michael Paul, he also presents "You Are What You Tweet: Analyzing Twitter for Public Health" at the Fifth International AAAI Conference on Weblogs and Social Media, applying the Ailment Topic Aspect Model to over one and a half million health-related tweets.

  4. 2017

    Social Monitoring for Public Health

    In 2017, he and Michael J. Paul publish the book Social Monitoring for Public Health with Morgan & Claypool, an introduction to the field for public health practitioners, computer scientists and data scientists.

  5. 2018–2019

    Weaponized Health Communication

    In 2018, his work shows how foreign actors weaponize health communication in the United States around the vaccine debate. He is named John C. Malone Associate Professor of Computer Science in March 2018, and in 2019 he receives the Ann E. Nolte Writing Award from the Foundation for the Advancement of Health Education for his paper "Weaponized Health Communication."

  6. 2023

    BloombergGPT and medical chatbots

    In March 2023, he is part of the team that builds BloombergGPT, a 50-billion-parameter language model trained on financial data, with a 363-billion-token dataset based on Bloomberg's data sources. In 2023, he also co-leads a study comparing physician and chatbot responses to patient questions, published in JAMA Internal Medicine.

  7. 2023–2024

    Full Professor and Optum award

    In March 2023, he announces that he will serve as the inaugural Director of Research (Foundations of AI) for the JHU Data Science and AI Institute, and in June 2023 he is promoted to Full Professor. In 2024, he receives an Optum Research Award in the area of foundational methods development, which supports his research on using large language models to build clinical question-answering systems that preserve patient privacy.

  8. Since November 2025

    Director of the DSAI Institute

    Johns Hopkins selects him after an international search as inaugural director of its Data Science and AI Institute, with the appointment effective in November 2025; he has been the institute's interim deputy director. As the John C. Malone Professor of Computer Science, he develops artificial intelligence systems based on natural language processing, with applications to public health and medicine.

Career

  1. Since 2009Johns Hopkins UniversityComputer Science faculty, John C. Malone Associate Professor of Computer Science

Education

  1. 2009University of PennsylvaniaPh.D.
  2. 2004Yeshiva UniversityM.A.
  3. 2003Northwestern UniversityB.S.

From the biography.

  1. The median h-index is 48 at universities and 14 at frontier AI labsIncludes Johns Hopkins University. 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. The company share of AI researchers’ top papers was 31% in 2020–2024 and 8% in 1970–1974Includes Johns Hopkins University. We estimate where the people shaping AI worked when their most-cited papers appeared: the company share was 31% in 2020–2024 and 8% in 1970–1974, and Google led all organizations in 2020–2024.
  3. Google has the highest combined h-index among AI organizationsIncludes Johns Hopkins University. 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. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Johns Hopkins University. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 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 Mark H. Dredze yet. Send us a free-licensed photo.

  1. Mark Dredze - Wikipedia en.wikipedia.org. Checked 21 October 2026.
  2. Computer scientist Mark Dredze named inaugural director of Johns Hopkins University's Data Science and AI Institute baltimorefishbowl.com. Checked 21 October 2026.
  3. Biographies, Bollywood, Boom-boxes and Blenders: Domain Adaptation for Sentiment Classification - ACL Anthology aclanthology.org. Checked 21 October 2026.
  4. You Are What You Tweet: Analyzing Twitter for Public Health ojs.aaai.org. Checked 21 October 2026.
  5. Social Monitoring for Public Health - Mark Dredze cs.jhu.edu. Checked 21 October 2026.
  6. News - Mark Dredze cs.jhu.edu. Checked 21 October 2026.
  7. BloombergGPT: A Large Language Model for Finance arxiv.org. Checked 21 October 2026.
  8. Mark Dredze receives Optum Research Award - Department of Computer Science cs.jhu.edu. Checked 21 October 2026.
  9. Speaker Bio - Mark Dredze cs.jhu.edu. Checked 21 October 2026.