- Cancer research
- Computational imaging
- Optics and image science
- Computational biophysics
- Cancer systems biology
- Image processing, analysis, and diagnostics
- Radar signal processing
- Bio-statistics and quantum information theory
The past decade has seen a dramatic increase in the need for integrated engineering approaches to leverage biology in medicine. Indeed,
- Development of highly multiplexed imaging technologies has opened a new frontier in spatial systems biology with tremendous potential for advancement in our understanding of biological complexity in tumorigenesis and its real applications in precision medicine;
- At the same time, dramatic advancements in microscopy modalities have opened the possibility of developing computational microscopes that integrate multi-modal imaging of function and structure of organelles, cells and tissue samples.
- Together with new biophysical models of image formation, data science and machine learning methods, they have the potential to significantly improve cancer prevention and intervention.
The areas listed at the top of the page focus on my research intersecting with these three themes.
Some of my other interests and related work are also listed above.