Patrick Heimbach

I am a computational oceanographer, professor in the Jackson School of Geosciences, and W. A. β€œTex” Moncrief, Jr., chair III in Simulation-Based Engineering and Sciences in the Oden Institute at the University of Texas at Austin. At UT, I direct the group.

My research focuses on ocean and ice dynamics and their role in the global climate system. A computational focus is the use of inverse methods and automatic differentiation applied to ocean and sea ice model parameter and state estimation, uncertainty quantification and observing system design. I earned my Ph.D. from the Max-Planck-Institute for Meteorology and the University of Hamburg, Germany. Prior to joining UT, I spent 16 years at MIT. I am the lead-PI of an NSF CSSI project (since 08/2021).


14:00 UTC

Differentiable Earth system models in Julia

This minisymposium will feature the use of the differentiable programming paradigm applied to Earth System Models (ESMs). The goal is to exploit derivative information and seamlessly combine PDE-constrained optimization and scientific machine learning (SciML). Speakers will address (1) Why differentiable programming for ESMs; (2) What ESM applications are we targeting?; and (3) How are we realizing differentiable ESMs? Target ESMs include ice sheet, ocean, and solid Earth models.

Platinum sponsors

Julia ComputingRelational AIJulius Technology

Gold sponsors


Silver sponsors

Invenia LabsBeacon BiosignalsMetalenzASMLG-ResearchConningPumas AIQuEra Computing Inc.Jeffrey Sarnoff

Media partners

Packt PublicationGather TownVercel

Community partners

Data UmbrellaWiMLDS

Fiscal Sponsor