PeopleofSuperintelligence

Researcher

Andrew Beam

Also known as Andy Beam

Andrew Beam is an AI researcher and epidemiologist whose machine-learning work spans medicine and scientific discovery. He earned a PhD at NC State in 2014 for Bayesian neural-network research and completed a postdoctoral fellowship in biomedical informatics at Harvard Medical School. In 2019, as a Harvard Medical School research associate, he helped develop a neural network for medical questions and joined Harvard Chan as an assistant professor. Generate:Biomedicines identified him as its founding head of machine learning by May 2022, and he served as co-deputy editor of NEJM AI and co-host of its Grand Rounds podcast in 2023. He coauthored NeoCLIP and entered NC State's Computer Science Alumni Hall of Fame in 2025; as of October 2026, he is CTO of Lila Sciences and an Adjunct Associate Professor at Harvard Chan.

Now at
Lila Sciences and Harvard University
Works
136
Citations
24,771
h-index
44

Publication numbers from OpenAlex, as of 27 October 2026.

Timeline

  1. 2014

    Bayesian neural networks at NC State

    In 2014, he earns a PhD at NC State for work on Bayesian neural networks. His earlier degrees include bachelor's degrees in computer science, computer engineering and electrical engineering, and an MS in statistics, all from NC State.

  2. 2016

    Postdoctoral work at Harvard

    At Harvard Medical School's Department of Biomedical Informatics, he is a postdoctoral research fellow in 2016, working on machine learning and genomics for clinical care.

  3. 2019

    Neural network for medical questions

    In 2019, as a research associate at HMS's Department of Biomedical Informatics, he leads a team developing an artificial neural network tested on questions about general biomedical knowledge.

  4. 2019

    Assistant professor at Harvard

    Harvard T.H. Chan welcomes him as an assistant professor of epidemiology in 2019, with secondary appointments in Harvard Medical School's Department of Biomedical Informatics and Brigham and Women's Department of Newborn Medicine. His research applies machine-learning methods to clinical and biological data.

  5. May 2022

    Founding head at Generate

    In May 2022, he is Generate:Biomedicines' founding head of machine learning and coauthors an article on generative biology and machine learning for drug discovery.

  6. 2023

    NEJM AI and Grand Rounds

    In 2023, he serves with Arjun Manrai as co-deputy editor of NEJM AI and co-hosts the NEJM AI Grand Rounds podcast, which explores AI and medicine.

  7. 2024

    Modern Healthcare 40 Under 40

    In 2024, Modern Healthcare includes him in its 40 Under 40 class for work in AI research and machine learning, with his neonatal intensive-care research highlighted.

  8. 2025

    NeoCLIP for neonatal radiographs

    In 2025, he coauthors NeoCLIP, a self-supervised foundation model designed to detect pathologies and medical devices on neonatal radiographs.

  9. November 2025

    The Computer Science Hall of Fame

    NC State inducts him into its Computer Science Alumni Hall of Fame in November 2025. His work connects machine learning with discovery in medicine, biology and public health.

  10. As of October 2026

    CTO at Lila Sciences

    As of October 2026, he is Chief Technology Officer at Lila Sciences and an Adjunct Associate Professor of Epidemiology at Harvard T.H. Chan. In February 2026, he is on leave from his Harvard role; in October 2026, he writes about using physical experiments to train language models.

Career

  1. NowLila SciencesChief Technology Officer
  2. NowHarvard UniversityAdjunct Associate Professor of Epidemiology
  3. From 2019Harvard UniversityAssistant Professor of Epidemiology
  4. Harvard UniversityPostdoctoral Research Fellow, Department of Biomedical Informatics
  5. Harvard UniversityResearch Associate, Department of Biomedical Informatics
  6. Harvard UniversitySecondary Appointment, Department of Biomedical Informatics
  7. Mass General BrighamSecondary Appointment
  8. Generate:BiomedicinesFounding Head of Machine Learning

Education

  1. 2014North Carolina State UniversityPhD
  2. North Carolina State UniversityBachelor's Degree in Computer Science
  3. North Carolina State UniversityBachelor's Degree in Computer Engineering
  4. North Carolina State UniversityBachelor's Degree in Electrical Engineering
  5. North Carolina State UniversityMS in Statistics

From the biography.

Checked career sources: hsph.harvard.edu.

Colleagues

People named in this biography, and people with dated positions at the same organization in the same years.

Sources and credits

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

  1. Andrew Beam | Harvard T.H. Chan School of Public Health hsph.harvard.edu. Checked 27 October 2026.
  2. Machine Learning and Medicine | Department of Biomedical Informatics dbmi.hms.harvard.edu. Checked 27 October 2026.
  3. Building a better med student | Harvard Gazette news.harvard.edu. Checked 27 October 2026.
  4. School welcomes new faculty | Harvard T.H. Chan School of Public Health hsph.harvard.edu. Checked 27 October 2026.
  5. Introducing Generative Biology Part II: On the Brink of Transforming Drug Discovery | Generate:Biomedicines generatebiomedicines.com. Checked 27 October 2026.
  6. New journal, podcast take a closer look at artificial intelligence in medicine | Harvard T.H. Chan School of Public Health hsph.harvard.edu. Checked 27 October 2026.
  7. CAUSALab News | CAUSALab | Harvard T.H. Chan School of Public Health hsph.harvard.edu. Checked 27 October 2026.
  8. NeoCLIP: a self-supervised foundation model for the interpretation of neonatal radiographs | npj Digital Medicine nature.com. Checked 27 October 2026.
  9. Welcoming the 2025 CS Alumni Hall of Fame Inductees | Computer Science csc.ncsu.edu. Checked 27 October 2026.
  10. How will we achieve scientific superintelligence? | LILA lila.ai. Checked 27 October 2026.
  11. Biomedical Informatics Entrepreneurs Salon: Andrew Beam, Lila Sciences | Harvard Office of Technology Development otd.harvard.edu. Checked 27 October 2026.