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 and Andrew Zammit Mangion, my thesis focuses on multivariate spatial and spatio-temporal statistical modeling with applications to large remote sensing datasets for environmental processes. Recent work features the estimation of natural carbon fluxes in a global Bayesian inversion framework.

My research interests are primarily 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

• Dec 2024: Contributed talk at TIES 2024 at the University of South Australia (Mawson Lakes Campus), Australia.
• Oct 2024: Contributed poster at the biannual ENVR Workshop at the NCAR Mesa Lab in Boulder, Colorado.
• Dec 2023: Contributed talk at the Australian Statistical Conference (ASC) at the University of Wollongong, Australia.
• Oct 2023: Contributed talk (remote) at the NASA OCO Science Team Meeting at the NCAR Mesa Lab in Boulder, Colorado.
• Aug 2023: Our paper “Spatial Statistical Prediction of Solar-Induced Chlorophyll Fluorescence (SIF) from Multivariate OCO-2 Data” was published in Remote Sensing.
• Jan 2023: Contributed talk at the 103rd Annual Meeting of the American Meteorological Society (AMS) in Denver, Colorado.