Progressing the intersection of algorithmics and genomics, using mathematical and statistical modeling.
Applying nanotechnology to biology and medicine, with a focus on precision diagnostics, the exploration of micro and nanoscale materials, and micro and nanofluidics.
Researching the application of data science across the entire spectrum of healthcare, including the health of individuals, populations and the healthcare system itself.
Developing theoretical and computational frameworks to bridge the differences in spatial and temporal scale of human biology using mechanistic models, statistical models and machine learning.
Enabling and expediting the identification, discovery and design of safe and effective drugs using data science, new tools and approaches.
Cognitive IoT and devices
Creating systems and interfaces that engage users and embed cognitive insights into everyday interaction
Gaining insights into deeper genomic information from communities of micro-organisms in various applications
Using Machine Learning and AI to better analyze images including MRI, retinal and skin images