I am a Visiting Assistant Professor in the Department of Applied Mathematics at the University of Colorado Boulder. My research interests span spatio-temporal statistics, Bayesian inference, and deep learning. I focus on methods for big data, data fusion, multivariate processes, and uncertainty quantification, and I am especially motivated by questions in the environmental and climate sciences.
I received my Ph.D. in Statistics from the University of Wollongong, where I was advised by Noel Cressie, Andrew Zammit Mangion, and Michael Bertolacci. My dissertation features multivariate spatial and spatio-temporal statistical modeling with a primary focus on the estimation of natural carbon sources and sinks in a hierarchical Bayesian inversion framework. I have also been affiliated with Jupiter Intelligence, where I developed statistical extreme-value models for climate risk analysis.
In addition to research, I try to enjoy all that Boulder has to offer. I like to bike, ski, hike, and rock climb—sometimes all in one day! Please feel welcome to send me an email if you’d like to connect.
Upcoming activities and recent news
- Aug 2026: Contributed talk at JSM 2026 in Boston, MA
- Jun 2026: Invited Talk at the Tjanpi Award Seminar, Online
- May 2026: Awarded 2025 Tjanpi Award for Best Student Paper in Environmental Statistics, presented by the Environmental Section of the Statistical Society of Australia
- May 2026: Attended the 53rd GMAC at the University of Colorado Boulder
- Apr 2026: Invited Talk, MathGeo Seminar in the Department of Applied Mathematics at the University of Colorado Boulder
- Mar 2026: Guest Lecture for Analysis of Climate and Weather Observations (GEOG 3301), led by Bharat Rastogi
- Feb 2026: Invited talk in NASA’s OCO-2/3 Science Team Telecon Series, Online
- Jan 2026: Joined the Department of Applied Mathematics at the University of Colorado Boulder as a Visiting Assistant Professor
- Dec 2025: Awarded Ph.D. in Statistics from the University of Wollongong (with Examiners' Commendation for Outstanding Thesis)
- Dec 2025: Our paper “WOMBAT v2.S: A Bayesian inversion framework for attributing global CO2 flux components from multiprocess data” was published in Environmetrics
- Dec 2025: Contributed talk at ACCOMC in Wollongong, NSW, Australia
- Nov 2025: Selected as co-winner of the 2025 J.B. Douglas Postgraduate Awards presented by The Statistical Society of Australia’s NSW Branch
- Nov 2025: Invited talk at the Computational Statistics in Data Science Workshop at the University of Wollongong, Australia
- Sep 2025: Invited talk (with Michael Bertolacci) at the NASA OCO-2/3 Science Team Meeting in Fort Collins, CO (via Teams)
- Sep 2025: Invited talk (with Andrew Zammit Mangion) at the NASA OCO-2/3 Science Team Meeting: UQ Breakout, Online
- Apr 2025: Awarded Best Lightning Talk at BAYSM 2025