Zak Kohane

Isaac Kohane, MD, PhD

Chair of the Department of Biomedical Informatics, Harvard Medical School
Marion V. Nelson Professor of Biomedical Informatics, Harvard Medical School
Associate Professor of Medicine, Brigham and Women's Hospital
10 Shattuck Street, Boston, MA 02115

Isaac (Zak) Kohane, MD, PhD is the inaugural Chair of the Department of Biomedical Informatics and the Marion V. Nelson Professor of Biomedical Informatics at Harvard Medical School. He served as co-author of the Institute of Medicine Report on Precision Medicine that has been the template for national efforts. He develops and applies computational techniques to address disease at multiple scales: from whole healthcare systems as “living laboratories” to the functional genomics of neurodevelopment with a focus on autism.

Over the last 30 years, Kohane’s research agenda has been driven by the vision of what biomedical researchers could do to find new cures, provide new diagnoses and deliver the best care available if data could be converted more rapidly to knowledge and knowledge to practice. In so doing, he has designed and led multiple internationally adopted efforts to “instrument” the healthcare enterprise for discovery and to enable innovative decision-making tools to be applied to the point of care. At the same time, the new insights afforded by ’omic-scale molecular analyses have inspired him and his collaborators to work on re-characterizing and reclassifying diseases such as autism, rheumatoid arthritis and cancers. In many of these studies, the developmental trajectories of thousands of genes have been a powerful tool in unraveling complex diseases.

In 1987, Kohane earned his MD/PhD from Boston University and then completed his post-doctoral work at Boston Children’s Hospital, where he has since worked as a pediatric endocrinologist. He joined the faculty at Harvard Medical School in 1992, serving as Director of Countway Library from 2005 to 2015 and as Co-Director of the Center for Biomedical Informatics during the same period, before it became the Department of Biomedical Informatics in July 2015. He is a member of the Institute of Medicine and the American Society for Clinical Investigation. Kohane has published several hundred papers in the medical literature and authored the widely-used books Microarrays for an Integrative Genomics (2003) and The AI Revolution in Medicine: GPT-4 and Beyond (2023). He is also Editor-in-Chief of NEJM AI.

Kohane is always on the lookout for like-minded “quants” who share the same goals to bring a better future for medicine and biomedical science to the present.

Current Postdoctoral Fellowship Opportunities
DBMI Research Areas
DBMI Courses
Prolonged Auditory Brainstem Response in Universal Hearing Screening of Newborns with Autism Spectrum Disorder.
Authors: Miron O, Delgado RE, Delgado CF, Simpson EA, Yu KH, Gutierrez A, Zeng G, Gerstenberger JN, Kohane IS.
Autism Res
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COVID-19 infections following physical school reopening.
Authors: Miron O, Yu KH, Wilf-Miron R, Kohane I, Davidovitch N.
Arch Dis Child
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Minimum information about clinical artificial intelligence modeling: the MI-CLAIM checklist.
Authors: Norgeot B, Quer G, Beaulieu-Jones BK, Torkamani A, Dias R, Gianfrancesco M, Arnaout R, Kohane IS, Saria S, Topol E, Obermeyer Z, Yu B, Butte AJ.
Nat Med
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Deciphering serous ovarian carcinoma histopathology and platinum response by convolutional neural networks.
Authors: Yu KH, Hu V, Wang F, Matulonis UA, Mutter GL, Golden JA, Kohane IS.
BMC Med
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A multidimensional precision medicine approach identifies an autism subtype characterized by dyslipidemia.
Authors: Luo Y, Eran A, Palmer N, Avillach P, Levy-Moonshine A, Szolovits P, Kohane IS.
Nat Med
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Reproducible Machine Learning Methods for Lung Cancer Detection Using Computed Tomography Images: Algorithm Development and Validation.
Authors: Yu KH, Lee TM, Yen MH, Kou SC, Rosen B, Chiang JH, Kohane IS.
J Med Internet Res
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EHRtemporalVariability: delineating temporal data-set shifts in electronic health records.
Authors: Sáez C, Gutiérrez-Sacristán A, Kohane I, García-Gómez JM, Avillach P.
Gigascience
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Scalability and cost-effectiveness analysis of whole genome-wide association studies on Google Cloud Platform and Amazon Web Services.
Authors: Krissaane I, De Niz C, Gutiérrez-Sacristán A, Korodi G, Ede N, Kumar R, Lyons J, Manrai A, Patel C, Kohane I, Avillach P.
J Am Med Inform Assoc
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Classifying non-small cell lung cancer types and transcriptomic subtypes using convolutional neural networks.
Authors: Yu KH, Wang F, Berry GJ, Ré C, Altman RB, Snyder M, Kohane IS.
J Am Med Inform Assoc
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AI for the Eye - Automated Assistance for Clinicians Screening for Papilledema.
Authors: Kohane I.
N Engl J Med
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