Harry Reyes Nieva         About   CV   Projects   Publications   Presentations   Teaching   News

Postdoctoral Research Scientist | AI for Medicine and Public Health

Harry Reyes Nieva, PhD, MAS

Welcome! I am a postdoctoral research scientist in the Division of Infectious Diseases at Columbia University Irving Medical Center with expertise in artificial intelligence (AI) in medicine and public health. I am also a DAAD AInet Fellow for Safety and Security in AI through the German Academic Exchange Service, Deutscher Akademischer Austauschdienst (DAAD). I completed my PhD in the Department of Biomedical Informatics at Columbia while concurrently a Visiting Postgraduate Research Fellow in the Department of Medicine at Harvard Medical School. Prior to training in AI in healthcare, I was a member of the Strategic Information division of the U.S. President’s Emergency Plan for AIDS Relief (PEPFAR) at Harvard University which aimed to rapidly expand antiretroviral therapy for people living with HIV/AIDS in sub-Saharan Africa. Recently I was named a STAT Wunderkind, one of the top 30 scientists deemed “the best early-career researchers in health and medicine in North America.”

Building on a decade and a half of domestic and international experience in clinical and public health informatics, my research focuses especially on responsible, human-centered AI and the development of systematic, scalable, data-driven approaches to improve human health and well-being for everyone. My work usually examines and applies methods such as machine learning, natural language processing, and spatio-temporal analysis in addition to traditional biostatistics and epidemiology. I am particularly interested in using and interrogating multimodal data sources and the vast toolbox that computational learning offers to better understand, improve, and facilitate study of health in populations and communities. Generally, my research can be grouped into four primary domains:

  1. Enabling learning health systems and precision health
  2. Improving health data capture and curation of new knowledge bases
  3. Elucidating heterogeneity in health outcomes and developing tools to facilitate discovery
  4. Ethical considerations in AI, clinical practice, and digital health

My PhD was funded by training fellowships from the National Library of Medicine and National Institute of Allergy and Infectious Diseases. I am also the recipient of a Computational and Data Science Fellowship from the Association for Computing Machinery (ACM) Special Interest Group in High Performance Computing (SIGHPC). In addition to my degrees in biomedical informatics, I also have a Master of Applied Science in Spatial Analysis from the Johns Hopkins Bloomberg School of Public Health and a Bachelor of Arts in Sociology and History from Yale University.

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Contact

harry [dot] reyes [at] columbia [dot] edu

Division of Infectious Diseases
Department of Medicine
Columbia University
622 West 168th Street, PH9-901
New York, NY 10032

Curriculum Vitae

Google Scholar Page

Citations: 1312     h-index: 15

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Selected Publications
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Reyes Nieva H, Zucker J, Tucker E, Castor D, Yin MT, Gordon P, Elhadad N. Enhanced Surveillance of Sexually Transmitted Infections to Foster a Learning Public Health System. JAMA Netw Open. 2025. 8(6):e2514308. PMID: 40526386.

Reyes Nieva H, Zucker J, Tucker E, McLean J, DeLaurentis C, Gunaratne S, Elhadad N. Development of Machine Learning-Based Mpox Surveillance Models in a Learning Health System. Sexually Transmitted Infections. 2025. 101():456-460. PMID: 40318862.

Reyes Nieva H, Bakken S, Elhadad N. Mining the Health Disparities and Minority Health Bibliome: A Computational Scoping Review and Gap Analysis of 200,000+ Articles. Science Advances. 2024. 10(4):eadf9033. PMID: 38266089.

Reyes Nieva H, Kashyap A, Voss EA, Ostropolets A, Anand A, Ketenci M, DeFalco FJ, Choi YS, Li Y, Allen MN, Guang S, Natarajan K, Ryan P, Elhadad N. The Impact of Evolving Endometriosis Guidelines on Diagnosis and Observational Health Studies. medRxiv [Preprint]. doi: 10.1101/2024.12.13.24319010.

Reyes Nieva H, Ruan E, Schiff G. Professional-Patient Boundaries: a National Survey of Primary Care Physicians’ Attitudes and Practices. J Gen Intern Med. 2020. 35(2):457–464. PMID: 31755012.

Schnipper JL, Reyes Nieva H, Yoon C, et al . What Works in Medication Reconciliation: An On-Treatment and Site Analysis of the MARQUIS2 Study. BMJ Qual Saf. 2023. 32(8):457-469. PMID: 36948542.
Ranked #1 among the top research articles of 2023 by BMJ Quality and Safety

Bear Don’t Walk OJ IV, Reyes Nieva H, Lee SSJ, Elhadad N . A Scoping Review of Ethics Considerations in Clinical Natural Language Processing. JAMIA Open. 2022. 5(2):ooac039. PMID: 35663112.

Ketenci M, Jeanselme V, Reyes Nieva H, Joshi S, Elhadad N. ADHAM: Additive Deep Hazard Analysis Mixtures for Interpretable Survival Regression. Machine Learning for Healthcare (MLHC). 2025 August. . Machine Learning for Healthcare (MLHC). 2025 August. arXiv:2509.07108.

Chaplin B, Meloni S, Eisen G, Jolayemi T, Banigbe B, Adeola J, Wen C, Reyes Nieva H, Chang C, Okonkwo P, Kanki P. Scale-up of networked HIV treatment in Nigeria: creation of an integrated electronic medical records system. Int J Med Inform. 2015. 84(1):58-68. PMID: 25301692.

Schiff GD, Volodarskaya M, Ruan E, Lim A, Wright A, Singh H, Reyes Nieva H. Characteristics of Disease-Specific and Generic Diagnostic Pitfalls: A Qualitative Study. JAMA Netw Open. 2022. 5(1):e2144531. PMID: 35061037.