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
Development of new methods to understand and combat cancer using photonics-based technologies
Developing software that converts nonlinear programs into complementarity problems without human interaction, using automatic differentiation techniques
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
Developing statistical methods to address problems in the biological sciences and genomic data integration
Signal transduction in eukaryotes, development of genomic technologies, plasma membrane receptors and ion transporters, Arabidopsis thaliana
Statistics and image analysis
Combined experimental-theoretical approaches for molecular virology; bioinformatics; pre-biotic chemistry; systems biology
Novel interventions to reduce and prevent healthcare associated infections
Algorithms for problems in comparative genomics
