Griffin Weber

Griffin Weber, MD, PhD

Associate Professor of Medicine, Beth Israel Deaconess Medical Center
Associate Professor of Biomedical Informatics, Harvard Medical School (Secondary)

Griffin Weber directs the Biomedical Research Informatics Core (BRIC) at BIDMC. A result of his research in expertise mining and social network analysis is his invention of an open source social networking website for scientists called Profiles RNS, now used at dozens of universities across the country. It automatically mines large datasets such as PubMed, NIH ExPORTER, and the U.S. patent database to discover investigators' research areas and scientific networks. It then presents these connections using temporal, geospatial, and network visualizations. The software has numerous applications, ranging from finding individual collaborators and mentors to understanding the dynamics of an entire research community.

Weber is also an investigator on Informatics for Integrating Biology and the Bedside (i2b2), an NIH National Center for Biomedical Computing, for which he helped developed a web-based open source platform that enables a variety of functions, including queries of large clinical repositories for hypothesis testing and identification of patients for clinical trials. He also created the original prototype software for the Shared Health Research Information Network (SHRINE), which is a federated query tool that connects i2b2 databases across multiple institutions. More than 100 institutions worldwide use i2b2 and SHRINE to support clinical research.

Weber received his M.D. and Ph.D. in computer science from Harvard University in 2007. While still a student, he became the first Chief Technology Officer of Harvard Medical School and built an educational web portal that provides interactive online content to over 500 courses. His past research projects also include analyzing DNA microarrays, modeling the growth of breast cancer tumors, and creating algorithms for predicting life expectancy.

Journal of Women's Imaging
Authors: Michaelson JS, Satija S, Moore R, Weber G, Halpern E, Garland A, Kopans DB
Estimates of the Sizes at Which Breast Cancers Become Detectable on Mammographic and Clinical Grounds
Journal of Women's Imaging
Authors: Michaelson JS, Satija S, Moore R, Weber G, Halpern E, Garland A, Kopans DB
Estimates of Breast Cancer Growth Rate and Sojourn Time from Screening Database Information
Predicting the survival of patients with breast carcinoma using tumor size.
Authors: Michaelson JS, Silverstein M, Wyatt J, Weber G, Moore R, Halpern E, Kopans DB, Hughes K.
Cancer
View full abstract on Pubmed
Identification of foreign gene sequences by transcript filtering against the human genome.
Authors: Weber G, Shendure J, Tanenbaum DM, Church GM, Meyerson M.
Nat Genet
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The pattern of breast cancer screening utilization and its consequences.
Authors: Michaelson J, Satija S, Moore R, Weber G, Halpern E, Garland A, Puri D, Kopans DB.
Cancer
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Building an asynchronous web-based tool for machine learning classification.
Authors: Weber G, Vinterbo S, Ohno-Machado L.
Proc AMIA Symp
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Journal of Intelligent and Fuzzy Systems
Authors: Ohno-Machado L, Vinterbo S, Weber G
Classification of Gene Expression Data Using Fuzzy Logic
Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses.
Authors: Bhattacharjee A, Richards WG, Staunton J, Li C, Monti S, Vasa P, Ladd C, Beheshti J, Bueno R, Gillette M, Loda M, Weber G, Mark EJ, Lander ES, Wong W, Johnson BE, Golub TR, Sugarbaker DJ, Meyerson M.
Proc Natl Acad Sci U S A
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Argus--a new database system for Web-based analysis of multiple microarray data sets.
Authors: Comander J, Weber GM, Gimbrone MA, García-Cardeña G.
Genome Res
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Journal of Women's Imaging
Authors: Michaelson JS, Satija S, Moore R, Weber G, Halpern E, Garland A, Kopans DB
Observations on Invasive Breast Cancer Diagnosed in a Service Screening and Diagnostic Breast Imaging Program