I am a final-year Ph.D. candidate in the School of Mathematics and Applied Statistics at the University of Wollongong in Australia. Supervised by Noel Cressie, Andrew Zammit Mangion, and Michael Bertolacci, my thesis focuses on multivariate spatial and spatio-temporal statistical modeling with applications to large remote sensing datasets for environmental processes. My recent work involves the estimation of natural carbon sources and sinks in a global Bayesian inversion framework.

My research interests are broadly in spatio-temporal statistics, including methods for large datasets, data fusion, multivariate processes, uncertainty quantification, and deep spatial models, especially as applied to the environmental and climate sciences. I am also interested in Bayesian inference and statistics of extremes.

Previously, I have also been involved as a data science consultant at Jupiter Intelligence, where I developed statistical extreme-value models for climate risk analysis. I hold B.S. and M.S. degrees in applied mathematics from the University of Colorado Boulder.

Upcoming activities and recent news

• Apr 2025: Contributed talk (online) at BAYSM 2025.
• Mar 2025: Seminar at the Department of Statistics, UNSW Sydney, Australia.
• Feb 2025: Selected as a winner of the 2025 EnviBayes Student Paper Competition by the EnviBayes Section of the International Society for Bayesian Analysis.
• Dec 2024: Selected as co-winner of Best Student Presentation at TIES 2024.
• Dec 2024: Contributed talk at TIES 2024 at the University of South Australia (Mawson Lakes Campus), Adelaide, South Australia.
• Oct 2024: Contributed poster at the biannual ENVR Workshop at the NCAR Mesa Lab in Boulder, Colorado.