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David Fenyo

David Fenyo, PhD

Institute for Systems Genetics

Professor, Department of Biochemistry and Molecular Pharmacology

Keywords
biostatistics, cancer, computational biology, genomics, imaging, pharmacology, proteomics, systems biology
Summary

Our goal is detailed understanding of the dynamics of cellular processes, and we apply mathematical, statistical and computational methods to solve practical problems in experimental design optimization, quantitative data analysis, and in the modeling of biological systems for generating new hypotheses. The focus of our research is proteomic data analysis: we are developing computational methods and databases for protein identification, characterization and quantitation using mass spectrometry-based proteomics.

Phone

917-754-6066

Academic office

435 E 30th St

9th Floor, Room 907

New York, NY 10016

Lab Website
Fenyo Lab
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These focus areas and their associated publications are derived from medical subject headings from PubMed.
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Positions

Professor, Department of Biochemistry and Molecular Pharmacology at NYU Grossman School of Medicine

Director, Biomedical Informatics Masters Training Program

Director, Systems and Computational Biomedicine PhD Training Program

Graduate Education

PhD from Uppsala University

Postdoctoral Training

Rockefeller University, Chait Lab

Mechanistic basis for impaired B cell depletion after anti-CD20 treatment of African American with neuro-inflammatory disorders

See All Studies (1)

Machine learning decision support model for radical cystectomy discharge planning

Zhao, Calvin C; Bjurlin, Marc A; Wysock, James S; Taneja, Samir S; Huang, William C; Fenyo, David; Matulewicz, Richard S

Urologic oncology. 2022 Oct; 40(10):453.e9-453.e18

Proteogenomic analysis of cancer aneuploidy and normal tissues reveals divergent modes of gene regulation across cellular pathways

Cheng, Pan; Zhao, Xin; Katsnelson, Lizabeth; Camacho-Hernandez, Elaine M; Mermerian, Angela; Mays, Joseph C; Lippman, Scott M; Rosales-Alvarez, Reyna Edith; Moya, Raquel; Shwetar, Jasmine; Grun, Dominic; Fenyo, David; Davoli, Teresa

eLife. 2022 Sep 21; 11:

Baseline Serum Autoantibody Signatures Predict Recurrence and Toxicity in Melanoma Patients Receiving Adjuvant Immune Checkpoint Blockade

Johannet, Paul; Liu, Wenke; Fenyo, David; Wind-Rotolo, Megan; Krogsgaard, Michelle; Mehnert, Janice M; Weber, Jeffrey S; Zhong, Judy; Osman, Iman

Clinical cancer research. 2022 09 15; 28(18):4121-4130

Staphylococcus aureus induces a muted host response in human blood that blunts the recruitment of neutrophils

Zwack, Erin E; Chen, Ze; Devlin, Joseph C; Li, Zhi; Zheng, Xuhui; Weinstock, Ada; Lacey, Keenan A; Fisher, Edward A; Fenyö, David; Ruggles, Kelly V; Loke, P'ng; Torres, Victor J

Proceedings of the National Academy of Sciences of the United States of America (PNAS). 2022 Aug 02; 119(31):e2123017119

Prediction of Maternal Hemorrhage Using Machine Learning: Retrospective Cohort Study

Westcott, Jill M; Hughes, Francine; Liu, Wenke; Grivainis, Mark; Hoskins, Iffath; Fenyo, David

Journal of medical Internet research. 2022 Jul 18; 24(7):e34108

Deep learning and pathomics analyses reveal cell nuclei as important features for mutation prediction of BRAF-mutated melanomas

Kim, Randie H; Nomikou, Sofia; Coudray, Nicolas; Jour, George; Dawood, Zarmeena; Hong, Runyu; Esteva, Eduardo; Sakellaropoulos, Theodore; Donnelly, Douglas; Moran, Una; Hatzimemos, Aristides; Weber, Jeffrey S; Razavian, Narges; Aifantis, Iannis; Fenyo, David; Snuderl, Matija; Shapiro, Richard; Berman, Russell S; Osman, Iman; Tsirigos, Aristotelis

Journal of investigative dermatology. 2022 Jun; 142(6):1650-1658.e6

USP1-trapping lesions as a source of DNA replication stress and genomic instability

Coleman, Kate E; Yin, Yandong; Lui, Sarah Kit Leng; Keegan, Sarah; Fenyo, David; Smith, Duncan J; Rothenberg, Eli; Huang, Tony T

Nature communications. 2022 Apr 01; 13(1):1740

LINE-1 expression in cancer correlates with p53 mutation, copy number alteration, and S phase checkpoint

McKerrow, Wilson; Wang, Xuya; Mendez-Dorantes, Carlos; Mita, Paolo; Cao, Song; Grivainis, Mark; Ding, Li; LaCava, John; Burns, Kathleen H; Boeke, Jef D; Fenyö, David

Proceedings of the National Academy of Sciences of the United States of America (PNAS). 2022 Feb 22; 119(8):

See All Publications (249)

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