Biomedical Informatics

Michael Wagner, PhD

Title

Faculty Liaison

Appointment

Associate Professor of Pediatrics, University of Cincinnati College of Medicine

Email

michael.wagner@cchmc.org

Phone

513-636-2935

Fax

513-636-2056

Bio

Michael Wagner, PhD, works on applications of machine learning techniques to bioinformatics problems such as protein structure prediction, disease classification and protein identification. His research lab currently is investigating machine-learning based scoring algorithms for peptide mass fingerprinting to better understand how to optimally mine mass spectrometry data to make high-confidence predictions of protein identities. The underlying computational engine for many of these problems is a massively parallel implementation of a linear programming solver (PCx), which can solve large-scale support vector regression, support vector machine and linear feasibility problems. Dr. Wagner also is involved in collaborations to perform genome-wide association studies, where his work has concentrated on developing an adequate, rapid data flow infrastructure that includes parallelized genotype calling algorithms.

Credentials

Dipl. Wi-Ing.: Universitaet Karlsruhe, Germany, 1995

MS: Operations Research, Cornell University, Ithaca, New York, 1998.

PhD: Operations Research, Cornell University, Ithaca, New York, 2000.

Research Grants and Contracts

Title: Bayesian Mixture Modeling of Functional Genomics Data
Sponsor: National Institutes of Health (University of Cincinnati)
PI: Medvedovic, M
Dates: 07/01/2006 - 06/30/2010

Title: Optimization of Structures and Networks of Proteins
Sponsor: National Institutes of Health (The University of Texas at Austin)
PI: Elber, R
Dates: 06/01/2008 - 05/31/2011