Arjun Manrai

Arjun (Raj) Manrai, PhD

Assistant Professor of Biomedical Informatics, Harvard Medical School
Deputy Editor, NEJM AI

10 Shattuck Street #304, Boston, MA, 02115

Arjun (Raj) Manrai, PhD is an Assistant Professor in the Department of Biomedical Informatics at Harvard Medical School, where he leads a research lab that works broadly on applying machine learning and statistical modeling to improve medical decision-making. Raj is also a founding Deputy Editor of NEJM AI, the new artificial intelligence-focused journal from the publishers of the New England Journal of Medicine, and co-host of the NEJM AI Grand Rounds podcast.

Focus areas for Raj’s research group include the role of artificial intelligence in medical diagnosis, the clinical use of genomic data and blood laboratory biomarkers, inherited heart disease and kidney disease, decision making across populations, and reproducibility and safety challenges for medical artificial intelligence. His work has been published in the New England Journal of Medicine and JAMA, presented at the National Academy of Sciences, and featured in the New York Times, Wall Street Journal, and NPR.

Raj is also closely involved in the mentoring of students at Harvard College, having served for over a decade as a Resident Tutor and now member of the Senior Common Room of Leverett House. Students from the lab have won the Rhodes, PD Soros, and other awards to continue their training and research in machine learning and medicine.

Raj earned an AB in Physics from Harvard College followed by a PhD in Bioinformatics and Integrative Genomics from the Harvard-MIT Division of Health Sciences and Technology (HST).

He resides in the Boston area and outside work he can usually be found losing home dance competitions to his 2 young daughters.

DBMI Research Areas
DBMI Courses
Association of Sex With Recurrence of Autism Spectrum Disorder Among Siblings.
Authors: Palmer N, Beam A, Agniel D, Eran A, Manrai A, Spettell C, Steinberg G, Mandl K, Fox K, Nelson SF, Kohane I.
JAMA Pediatr
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Fostering reproducibility in industry-academia research.
Authors: Jasny BR, Wigginton N, McNutt M, Bubela T, Buck S, Cook-Deegan R, Gardner T, Hanson B, Hustad C, Kiermer V, Lazer D, Lupia A, Manrai A, McConnell L, Noonan K, Phimister E, Simon B, Strandburg K, Summers Z, Watts D.
Science
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Informatics and Data Analytics to Support Exposome-Based Discovery for Public Health.
Authors: Manrai AK, Cui Y, Bushel PR, Hall M, Karakitsios S, Mattingly CJ, Ritchie M, Schmitt C, Sarigiannis DA, Thomas DC, Wishart D, Balshaw DM, Patel CJ.
Annu Rev Public Health
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Systematic correlation of environmental exposure and physiological and self-reported behaviour factors with leukocyte telomere length.
Authors: Patel CJ, Manrai AK, Corona E, Kohane IS.
Int J Epidemiol
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METHODS TO ENSURE THE REPRODUCIBILITY OF BIOMEDICAL RESEARCH.
Authors: Karczewski KJ, Tatonetti NP, Manrai AK, Patel CJ, Titus Brown C, Ioannidis JPA.
Pac Symp Biocomput
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Genetic Misdiagnoses and the Potential for Health Disparities.
Authors: Manrai AK, Funke BH, Rehm HL, Olesen MS, Maron BA, Szolovits P, Margulies DM, Loscalzo J, Kohane IS.
N Engl J Med
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Clinical Genomics: From Pathogenicity Claims to Quantitative Risk Estimates.
Authors: Manrai AK, Ioannidis JP, Kohane IS.
JAMA
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METHODS TO ENHANCE THE REPRODUCIBILITY OF PRECISION MEDICINE.
Authors: Manrai AK, Patel CJ, Gehlenborg N, Tatonetti NP, Ioannidis JP, Kohane IS.
Pac Symp Biocomput
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METHODS TO ENHANCE THE REPRODUCIBILITY OF PRECISION MEDICINE.
Authors: Manrai AK, Patel CJ, Gehlenborg N, Tatonetti NP, Ioannidis JP, Kohane IS.
Pac Symp Biocomput
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REPRODUCIBLE AND SHAREABLE QUANTIFICATIONS OF PATHOGENICITY.
Authors: Manrai AK, Wang BL, Patel CJ, Kohane IS.
Pac Symp Biocomput
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