Biography

I am a fifth-year PhD student in the Department of Statistics and Data Science at Carnegie Mellon University, advised by Prof. Mikael Kuusela. My current research focuses on rigorous uncertainty quantification and neural simulation-based inference for large and complex spatio-temporal data.

In collaboration with Prof. Donata Giglio (CU Boulder), I have worked on a mapping and uncertainty quantification framework for ocean heat content from Argo floats. Through this work, I am involved in a number of climatological intercomparison efforts (see my Google scholar page).

Since 2024, I have served as coordinator for the Statistical Methods for the Physical Sciences (STAMPS) Research Center. Please see the link for information on our work and upcoming events.

Education

• Ph.D in Statistics, Carnegie Mellon University, 2026 (expected)
• B.S. in Applied Mathematics (Statistics Emphasis), Boise State University, 2021

Research Interests

• Spatial statistics
• Uncertainty quantification
• Machine learning
• Neural simulation-based inference
• Scalable methods for large/complex data
• Statistical methods for the physical sciences