Ayo Akinyele, Adjunct Associate Research Engineer
Mitra Basu, Visiting Professor; Computational biology, pattern recognition, neural networks, artificial intelligence
Asad Butt, Associate Research Scientist; Computer Vision, Pattern Recognition, Digital Image Processing, Machine Learning, Convex Optimization, Graph Theory, Image and Video Retrieval
Philippe Burlina, Associate Research Professor; Machine vision, medical image analysis, machine learning, enterprise software systems, content and e-process management, SDLC, software engineering. APL
Gabor Fichtinger, Adjunct Professor; Applied surgical robotics, surgical CAD/CAM systems, percutaneous therapies, stereotactic radiosurgery
Harold Lehmann, Lecturer – Medical informatics
Austin Reiter, Assistant Research Professor, Applications of Computer Vision to Robotics, specifically in the field of interventional medicine and surgical technology. Machine vision problems involving tracking, 3D reconstruction, Image registration, Visual recognition.
Amitabh Basu, Associate Professor, Applied Math and Statistics; Ph.D. Carnegie Mellon University, 2010. Optimization, discrete and combinatorial geometry, operations research, convex analysis.
Alexis Battle, Assistant Professor; Biomedical Engineering, P.hD., Computer Science, Stanford University, 2013. Genetics of complex traits, use of machine learning and probabilistic models to untangle the effects of genetic variation on clinically relevant phenotypes, graphical models, transfer learning, structured regularization methods.
Muyinatu Bell, John C. Malone Assistant Professor; Electrical and Computer Engineering, Ph.D., Duke University, 2012. Ultrasound imaging, photoacoustic imaging, image quality improvements, advanced beamforming methods, light delivery systems, medical robotics, image-guided surgery, technology development, medical device design, and clinical translation.
Tamas Budavari, Assistant Professor; Ph.D., Eötvös Lóránd University, 2001. Computational statistics. Bayesian inference, low-dimensional embeddings, streaming and randomized algorithms
Rama Chellappa, Bloomberg Distinguished Professor; Electrical and Computer Engineering and Biomedical Engineering, Ph.D. Purdue University, 1978, West Lafayette, 1981. Computer vision, machine learning, artificial intelligence, signal and image/video processing.
Greg Chirikjian, Professor; Mechanical Engineering; Ph.D., Caltech, 1992. Robotics, kinematics, dynamics, control, motion planning.
Noah J. Cowan, Associate Professor; Mechanical Engineering; Ph.D., University of Michigan, 2001. Sensor-based control of locomotion and manipulation, machine learning, and biologically inspired robotics.
Ralph Etienne-Cummings, Professor; Electrical and Computer Engineering; Ph.D., University of Pennsylvania, 1990. VLSI circuits, systems and algorithms for biologically inspired and low-power, parallel mixed-signal processing, biomorphic robotics and neural prosthetics.
Jean Fan, Assistant Professor; Biomedical Engineering; Ph.D., Harvard Medical School, 2018. Bioinformatics, single cell, spatial transcriptomics, cancer biology, and biomedical data science
James Fill, Professor; Applied Mathematics and Statistics; Ph.D. Statistics, University of Chicago, 1980. Probability, stochastic processes, random structures and algorithms.
Liliana Florea, Associate Professor; McKusick-Nathans Institute for Genetic Medicine; Ph.D. Penn State University, 2000. Application of computational techniques towards modeling and solving problems in biology and genetic medicine.
Rachel Karchin, Associate Professor; Biomedical Engineering, Ph.D., Computer Science UC Santa Cruz, 2003. Computational molecular biology, bioinformatics, genetic variation
Sanjeev Khudanpur, Associate Professor; Electrical and Computer Engineering; Ph.D., Maryland, 1997. Information theory, statistical language modeling for speech recognition and machine translation
Enrique Mallada, Assistant Professor; Electrical and Computer Engineering; PhD. Cornell University, 2014. Network dynamics, and distributed systems
Michael I. Miller, Professor; Biomedical Engineering; Ph.D., Johns Hopkins University, 1984. Image understanding, computer vision, medical imaging, computational anatomy
Vishal Patel, Assistant Professor; Ph.D., University of Maryland, 2010. Signal and image processing, computer vision, machine learning
Mihaela Pertea, Associate Professor; McKusick-Nathans Institute of Genetic Medicine and Department of Medicine; Ph.D., Johns Hopkins University, 2001. Development of computational tools for RNA-seq analysis, gene finding, splice site prediction, and sequence motif finding.
Carey Priebe, Professor; Applied Mathematics and Statistics; Ph.D., George Mason, 1993. Computational statistics, kernel and mixture estimates, statistical pattern recognition, and statistical image analysis.
Jerry L. Prince, William B. Kouwenhoven Professor; Electrical and Computer Engineering and Associate Director for Research, CISST ERC. Ph.D., MIT, 1988. Image processing, computer vision, medical imaging.
Daniel Scharfstein, Professor; Bloomberg School of Public Health; Ph.D., Harvard University, 1996. Biostatistics, causal inference, longitudinal data analysis, survival analysis, missing data, and semiparametric models.
Rebecca Schulman, Assistant Professor; Chemical and Biomolecular Engineering; PhD., University of California at Berkeley, 2011.
Jeffrey Siewerdsen, Professor; Biomedical Engineering; Ph.D., University of Michigan, 1998. Imaging physics, diagnostic radiology, image-guided interventions.
Jeremias Sulam, Assistant Professor, Biomedical Engineering; Ph.D., Technion Israel Institute of Technology, Israel, 2018. Parse recovery, dictionary learning and machine learning, with an interest in inverse problems in signal and image processing.
Casey Overby Taylor, Assistant Professor; Division of General Internal Medicine; Ph.D. University of Washington, 2011. Public health genomics and biomedical informatics.
Archana Venkataraman, John C. Malone Assistant Professor; Electrical and Computer engineering; Ph.D., MIT 2012. Functional neuroimaging (fMRI, EEG), machine learning and probabilistic inference, network modeling of the brain and integration of imaging, genetics and behaviorial data.
Rene Vidal, Associate Professor; Biomedical Engineering; Ph.D., UC Berkeley, 2003. Computer vision, machine learning, robotics, and control.
Joshua Vogelstein, Assistant Professor; Biomedical engineering; Ph.D., Johns Hopkins University, 2009.
Louis Whitcomb, Professor; Mechanical Engineering; Ph.D., Yale, 1992. Dynamics and control of mechanical systems.
Raimond L. Winslow, Professor; Biomedical Engineering and Director, The Institute for Computational Medicine; Ph.D., Johns Hopkins, 1985. Modeling of biological systems, nonlinear systems theory, grid computing and data management, biomedical ontologies.
Tom Woolf, Professor; Physiology; Ph.D. Yale, 1990.