Welcome
I am an Assistant Professor in the Department of Applied Mathematics at the University of California, Merced. Prior to joining UC Merced, I worked at the University of Northern British Columbia (2018-2023) and was a postdoc at McGill University (2014-2018) working with Jean-Christophe Nave and Gantumur Tsogtgerel. I received my Ph.D. in Applied Mathematics (2010-2014) at Polytechnique Montréal, under Marc Laforest and Frédéric Sirois. I completed my undergraduate studies at the University of British Columbia, and Masters studies under George Bluman.
Contact Information
Email: andywan at ucmerced.edu
Office: ACS 322
Address:
Department of Applied Mathematics
University of California, Merced
5200 North Lake Rd.
Merced, CA 95343
My research interests are in numerical analysis, scientific computing and more recently scientific machine learning. I am interested in structure-preserving numerical methods, such as conservative discretizations which preserve geometric invariants of dynamical systems, as well as their applications in the mathematical sciences. I am also interested at the interplay between structure-preservation and data-driven/machine learning methods for solving scientific computing problems.
Currently, I am a part of a PIMS Collaborative Research Group (2024-2027) on Structure-Preserving Discretizations and their Applications, where we focus on developing structure-preserving discretizations and machine learning methods, as well as their applications.