Overview
My research is motivated by the need to provide improved model/data comparisons for ice and fluid dynamics in cold regions. We look at both sea ice and lake ice as well as simulate flows beneath ice and stratified boundary layers.
We have been looking into physically based approaches, and data-driven approaches. I am keen to explore data-driven approaches that maintain the fidelity of the physical system.
Please feel free to browse some of these projects and contact me if you are interested
I welcome students across all diversity groups and can adjust projects for various levels, from undergraduate to PhD or Postdoc
Research Interests
Computational fluids, turbulence and imaging
Deep learning for image segmentation, physically inspired neural networks and neural operators
Remote sensing and prediction of environmental phenomena
Teaching
ME 351 Fluid Mechanics
ME 664 Turbulence
SYDE 351 Systems Models
SYDE 621 Numerical Method
SYDE 113 Engineering Mathematics
Reading courses on deep learning and remote sensing
Professional Service
IEEE GRSS Women-to-Women Mentor (2023 - present)
Associate Editor, AGU Journal of Machine Learning and Computation (2024 - present)
Awards
Outstanding Performance Award, University of Waterloo, 2022
Distinguished Performance Award, University of Waterloo 2021
