Research Interests and Selected Publications
I research machine learning methods and build artificial intelligence systems to automate the process of scientific discovery. I am particularly interested in questions of automatically identifying and adapting to changing contexts. This research focus requires advances in interpretable machine learning, multi-task learning, and task representation learning, and finds natural applications in precision medicine and computational genomics of complex diseases such as Alzheimer’s Disease, Down Syndrome, and cancer.
- Code: Contextualized.ML Python package
NOTMAD: Estimating Bayesian Networks with Sample-Specific Structures and ParametersArxiv 2021
Discriminative Subtyping of Lung Cancers from Histopathology Images via Contextual Deep LearningMedrxiv 2020
- Code: Interpret.ML Python package.