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
Professor of Pediatrics, Boston Children's Hospital

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
Cluster analysis of gene expression dynamics.
Authors: Ramoni MF, Sebastiani P, Kohane IS.
Proc Natl Acad Sci U S A
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Identification of genes expressed with temporal-spatial restriction to developing cerebellar neuron precursors by a functional genomic approach.
Authors: Zhao Q, Kho A, Kenney AM, Yuk Di DI, Kohane I, Rowitch DH.
Proc Natl Acad Sci U S A
View full abstract on Pubmed
Analysis of matched mRNA measurements from two different microarray technologies.
Authors: Kuo WP, Jenssen TK, Butte AJ, Ohno-Machado L, Kohane IS.
Bioinformatics
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Newborn screening program practices in the United States: notification, research, and consent.
Authors: Mandl KD, Feit S, Larson C, Kohane IS.
Pediatrics
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Visualization and evaluation of clusters for exploratory analysis of gene expression data.
Authors: Kim JH, Kohane IS, Ohno-Machado L.
J Biomed Inform
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CHIP TUNER: a web tool for evidence-based noise reduction in gene discovery.
Authors: Tsien CL, Libermann TA, Gu X, Kho A, Kohane IS.
Proc AMIA Symp
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Accessing genomic data through XML-based remote procedure calls.
Authors: Riva A, Kohane IS.
Proc AMIA Symp
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Linking gene expression data with patient survival times using partial least squares.
Authors: Park PJ, Tian L, Kohane IS.
Bioinformatics
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Computerized reminders to physicians in the emergency department: a web-based system to report late-arriving abnormal laboratory results.
Authors: Cai Z, Kohane I, Fleisher GR, Greenes DS.
Proc AMIA Symp
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An unsupervised self-optimizing gene clustering algorithm.
Authors: Schachter AD, Kohane IS.
Proc AMIA Symp
View full abstract on Pubmed