Publications: Multiple papers accepted at conferences such as CLeaR 2025, Statistica Sinica, NeurIPS 2024, UAI 2024; Awards: NSF CRII grant; Student Supervision: Several students successfully defended their theses.
Research Experience
Work Experience: Assistant Professor of Computer Science at Williams College; Research Projects: Developing statistical and machine learning methods for causal inference and applying them to problems in computational genomics and healthcare.
Education
Degrees: BS in Biomedical Engineering, PhD in Computer Science; School: Johns Hopkins University; Advisor: Ilya Shpitser.
Background
Research Interests: Statistical and machine learning methods for causal inference, with applications in computational genomics and healthcare. Background: Assistant Professor of Computer Science at Williams College.