Josh Jacobson

Josh Jacobson

Visiting Assistant Professor

Department of Applied Mathematics

University of Colorado Boulder

Welcome!

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 and Bayesian inference, including methods for big data, data fusion, multivariate processes, and uncertainty quantification, especially as applied to the environmental and climate sciences. I am also interested in neural inference and statistics of extremes.

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 Ph.D. featured 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.

Outside of work, 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.

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