Training Program Faculty

Feilim Mac Gabhann, PhD

Associate Professor
Director, Pre-Doctoral Training Program in Computational Medicine

Biomedical Engineering

Studies of disease and therapeutics, integrating experimental and computational research to predict and test new and/or optimized treatments

 

Tilak Ratnanather, DPhil

Associate Research Professor
Co-Dir., Pre-Doctoral Training Program in Computational Medicine

Biomedical Engineering

Computational anatomy methods for shape analysis of brain structure

 

William S. Anderson, MA, MD, PhD

Associate Professor

Attending Neurosurgeon

Neurological Surgery, The Johns Hopkins Hospital

Deep brain stimulation therapies for movement disorders

 

Joel Bader, PhD

Professor

Biomedical Engineering

Human genetics and disease, systems biology, synthetic biology, computational biology, infectious disease, cancer

 

Alexis Battle, PhD

Associate Professor

Biomedical Engineering

Genomics and machine learning

 

 

Nicholas Charon, PhD

Assistant Professor

Applied Mathematics & Statistics

Applications of differential and discrete geometry to shape analysis, computational anatomy and medical imaging

 

Donald Geman, PhD

Professor

Applied Mathematics & Statistics

Computational biology, computer vision, and statistical learning

 

Rachel Karchin, PhD

Professor
The William R. Brody Faculty Scholar

Biomedical Engineering

Development of computational methods to analyze genomic data and interpret impact on human health

 

Benjamin Langmead, PhD

Assistant Professor

Computer Science

Genomics, sequence alignment, text indexing, high performance computing, big data

 

Mauro Maggioni, PhD

Bloomberg Distinguished Professor

Applied Mathematics & Statistics / Mathematics

Analysis, partial differential equations, algebraic topology, big data, data intensive computation, harmonic analysis manifolds and over discrete structures

 

Michael I. Miller, PhD

Hershel and Ruth Seder Professor
Director, Department of Biomedical Engineering
Director, Center for Imaging Science

Biomedical Engineering

Neuroengineering, brain mapping, computational neuroscience, and medical imaging

 

Rajat Mittal, PhD

Professor

Mechanical Engineering

Computational fluid dynamics, including cardiac flows, vascular flows, and mapping the cardiac acousteome

 

Daniel Naiman, PhD

Professor

Applied Mathematics & Statistics

Statistical inference, computational statistics, bioinformatics, exposure science

 

Steven Salzberg, PhD

Bloomberg Distinguished Professor

Biomedical Engineering, School of Medicine

Development of computational methods for analysis of DNA using sequencing technologies

 

Suchi Saria, PhD

Assistant Professor

Computer Science

Machine learning, computational health informatics, predictive modeling in healthcare

 

Sridevi Sarma, PhD

Associate Professor

Biomedical Engineering

Computational and system neuroscience with applications to neurological disorders

 

 

Casey Overby Taylor, PhD

Assistant Professor

Dept. of Medicine- Gen. Internal Medicine; Biomedical Engineering

Translational bioinformatics, clinical research informatics, public health genomics, precision medicine

 

Natalia Trayanova, PhD

Murray B. Sachs Professor

Biomedical Engineering

Rhythm and contractile disorders in the heart; development of prevention and treatment of disorders

 

Rene Vidal, PhD

Professor

Biomedical Engineering, Computer Science, Mechanical Engineering and Electrical & Computer Engineering

Development of mathematical methods for analyzing and interpreting images, videos, and biomedical data

 

Joshua Vogelstein, PhD

Assistant Professor

Biomedical Engineering

Statistical science, computational science, bit data curation, neuroscience

 

Raimond L. Winslow, PhD

Raj and Neera Singh Professor
Biomedical Engineering

Computational modeling of intracellular signaling, metabolism and electrical excitability in cardiac myocytes

 

Laurent Younes, PhD

Professor

Applied Mathematics & Statistics

Shape analysis, computational anatomy, computer vision and computational biolog

 

Yanxun Xu, PhD

Assistant Professor

Applied Mathematics & Statistics

Bayesian models for big data analysis, high-throughput genomics and proteomics data; Bayesian adaptive designs for clinical trials

JHU - Institute for Computational Medicine