I primarily research mathematical models and algorithms for health and healthcare, but I am broadly interested in the intersection of mathematics, statistics, computer science, and engineering and the interesting problems that arise in those areas in the context of biology and medicine.
I am a co-organizer of the George B. Moody PhysioNet Challenges with Gari Clifford. The Challenges are annual competitions that invite researchers to develop algorithmic approaches for addressing clinical problems. For the Challenges, we source and release real-world datasets and define clinically motivated problems to encourage and support the development of open-source and reproducible computational methods. The Challenges result in large public datasets and dozens of publications and open-source algorithms.
I am also interested in computational biology and computational cancer genomics. I research computational methods for identifying driver alterations in cancer from large-scale sequencing studies with various prior biological hypotheses and prior knowledge of biological pathways. In particular, I develop, apply, and analyze computational methods for detecting and characterizing targetable protein-protein interactions in cancer.
My recent publications illustrate many of my research interests, especially papers for which I am one of the first first or last authors.