The foundation of Dr. Kilian Pohl's laboratory is computational science aimed at identifying biomedical phenotypes improving the mechanistic understanding, diagnosis, and treatment of neuropsychiatric disorders. The biomedical phenotypes are discovered by unbiased, machine learning-based searches across biological, neuroimaging, and neuropsychological data.

Home Department: Radiation Oncology
Faculty Advisor: Lei Xing
Talk Title: Compressed Sensing with a First-Order Method for Low-Dose Cone-Beam CT Reconstruction
Event: 2010 AAPM Annual Meeting

Awarded in 2018
Home Department: Chemical Engineering
Faculty Advisors: Alexander Dunn (Chemical Engineering), Gerald Fuller (Chemical Engineering), Kyle Loh (Developmental Biology), and David Myung (Ophthalmology)