Matthew Churpek

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

Melissa SKALA

Development of new methods to understand and combat cancer using photonics-based technologies

Michael Ferris

Michael FERRIS

Developing software that converts nonlinear programs into complementarity problems without human interaction, using automatic differentiation techniques

Michael Gleicher

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

Michael NEWTON

Developing statistical methods to address problems in the biological sciences and genomic data integration

Michael Sussman

Michael SUSSMAN

Signal transduction in eukaryotes, development of genomic technologies, plasma membrane receptors and ion transporters, Arabidopsis thaliana

Moo Chung

Moo CHUNG

Statistics and image analysis

John Yin

John YIN

Combined experimental-theoretical approaches for molecular virology; bioinformatics; pre-biotic chemistry; systems biology

Nasia Safdar

Nasia SAFDAR

Novel interventions to reduce and prevent healthcare associated infections

Colin Dewey

Colin DEWEY

Algorithms for problems in comparative genomics