Elise Walker
(she/her/hers)
Postdoctoral Appointee at Sandia National Laboratories
eawalke [at] sandia [dot] gov
I started a research postdoc position at Sandia National Laboratories in Albuquerque in summer of 2022. My current research revolves around scientific machine learning, with focuses on multimodal data, feature discovery, physics-preservation, Gaussian Processes, causal inference, and the intersections of machine learning with algebraic geometry.
In May 2022 I graduated with my Ph.D. in Mathematics from Texas A&M University under the advisement of Frank Sottile. My dissertation was "Toric Varieties and Numerical Algorithms for Solving Polynomial Systems".
My graduate research interests were in nonlinear algebra and its applications. I found interest whenever a polynomial system is involved. My graduate research spanned the use of numerical and computational methods for solving polynomial systems, as well as developing software packages for computational methods.
Physics-informed machine learning
Multimodal feature discovery
Gaussian Process applications
Causal inference
Intersections of machine learning with algebraic geometry
IACM Mechanistic Machine Learning and Digital Engineering for Computational Science Engineering and Technology (MMLDE-CSET). El Paso, TX, USA, Sep 24-27, 2023.
World Conference on Computational Mechanics (WCCM 2024). Vancouver, British Columbia, Canada, July 21-26, 2024.