M. Elizabeth MEYERAND
Development of Magnetic Resonance Imaging (MRI) based acquisition and post-processing methods to visualize diffusion and activation in the human brain
Majid AFSHAR
Predictive analytics (diagnostics and prognostics) using electronic health record data and public health data for individuals with critical illness and substance misuse
Mark CRAVEN
Development and application of machine-learning methods to inferring models that characterize networks of interactions among genes, proteins, clinical and environmental factors, and phenotypes of interest
Matthew CHURPEK
Utilization of electronic health record data and machine learning techniques, such as natural language processing and deep learning, to identify patients at risk for clinical deterioration, sepsis, acute kidney injury, and other syndromes of critical illness
Melissa SKALA
Development of new methods to understand and combat cancer using photonics-based technologies
Michael FERRIS
Developing software that converts nonlinear programs into complementarity problems without human interaction, using automatic differentiation techniques
Michael GLEICHER
Computer animation, video processing, and medical visualization to develop tools that help people express themselves in visual media, and to make these media more expressive, educational, and entertaining
Michael NEWTON
Developing statistical methods to address problems in the biological sciences and genomic data integration
Michael SUSSMAN
Signal transduction in eukaryotes, development of genomic technologies, plasma membrane receptors and ion transporters, Arabidopsis thaliana
Christina KENDZIORSKI
Development and application of statistical methods for statistical methods and software for the analysis of data from high-throughput genomics experiments
