Nathan Patrick Palmer, Ph.D.

Nathan Palmer, PhD

Director, Core for Computational Biomedicine
Senior Research Scientist in Biomedical Informatics

Nathan Palmer received a PhD in computer science from the Massachusetts Institute of Technology, studying machine learning, protein folding, and functional genomics. He then held a postdoctoral research position in the lab of Isaac Kohane at Harvard Medical School, during which his research interests expanded to include large-scale genomics, epidemiology, and medical informatics. He then went on to direct the Healthcare Data Science Program in the Department of Biomedical Informatics at Harvard Medical School.

In his current role as Director of the Core for Computational Biomedicine, Dr. Palmer is part of a team of leading-edge technologists who evaluate and deploy modern data analytic processing and storage platforms to meet the needs of emergent research programs, with the goal of improving research reproducibility, scale, and efficiency. This team provides access to data resources comprising tens of billions of medical facts from tens of millions of patients to the research community at HMS, and develops both the technical and methodological solutions to perform novel analytics at scale.

Dr. Palmer continues to work in the area of functional genomics and epidemiology through collaborations with the various Harvard teaching hospitals.

iPSC-derived neurons as a higher-throughput readout for autism: promises and pitfalls.
Authors: Prilutsky D, Palmer NP, Smedemark-Margulies N, Schlaeger TM, Margulies DM, Kohane IS.
Trends Mol Med
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Early detection of poor adherers to statins: applying individualized surveillance to pay for performance.
Authors: Zimolzak AJ, Spettell CM, Fernandes J, Fusaro VA, Palmer NP, Saria S, Kohane IS, Jonikas MA, Mandl KD.
PLoS One
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A gene expression profile of stem cell pluripotentiality and differentiation is conserved across diverse solid and hematopoietic cancers.
Authors: Palmer NP, Schmid PR, Berger B, Kohane IS.
Genome Biol
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Making sense out of massive data by going beyond differential expression.
Authors: Schmid PR, Palmer NP, Kohane IS, Berger B.
Proc Natl Acad Sci U S A
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A practical platform for blood biomarker study by using global gene expression profiling of peripheral whole blood.
Authors: Tian Z, Palmer N, Schmid P, Yao H, Galdzicki M, Berger B, Wu E, Kohane IS.
PLoS One
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Comprehensive dissection of PDGF-PDGFR signaling pathways in PDGFR genetically defined cells.
Authors: Wu E, Palmer N, Tian Z, Moseman AP, Galdzicki M, Wang X, Berger B, Zhang H, Kohane IS.
PLoS One
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Fold recognition and accurate sequence-structure alignment of sequences directing beta-sheet proteins.
Authors: McDonnell AV, Menke M, Palmer N, King J, Cowen L, Berger B.
Proteins
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