I am interested in identifying the underlying dynamics of complex real-world systems. My research focuses on using machine learning to achieve this.
I’m currently a postdoctoral researcher at University of Pennsylvania. I work in the Computational Genetics Lab, which is part of the Institute for Biomedical Informatics. This group is dedicated to identifying gene-gene and gene-environment interactions that cause human disease.
I collaborate with lots of researchers to better understand various processes, including the dynamics of wind turbines, the behavior of bald eagles that live near wind farms, wind and wave conditions at sea, and the dynamics of fluid-structure interaction, among others. I focus on developing concise models that can provide crucial insights to the people that work with these systems.
- Computational Genetics Lab in the Institute for Biomedical Informatics
- Warren Center for Network and Data Sciences
- Hampshire Computational Intelligence Laboratory (Lee Spector’s research group)
- UMass NSF Wind Energy IGERT program (my PhD fellowship)
- National Wind Technology Center (NWTC)
- NWTC Gearbox Reliability Collaborative
- Symbolic Representation Learning
- Lexicase Selection
- Penn AI: Accessible, Automatic Data Science
- Improving Machine Learning Standards in Biomedical Informatics
- Predicting Patient Outcomes with Electronic Health Records
- Identifying Concise, Nonlinear Dynamic Models
- Structural Adaptation of Models and Controllers