Institution/Organization: University of Washington
Department: Department of Applied Mathematics
Academic Status: Graduate Student
What conference theme areas are you interested in:
Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering
Applications in science, engineering, and industry
High-order methods, novel discretizations, and scalable solvers
Inverse problems, optimization, and uncertainty quantification
Multiscale, multiphysics, and multilevel methods
Interests:
General: Complex analysis, computational methods, fluid mechanics, mathematical physics, numerical analysis, optimization methods, ordinary differential equations, partial differential equations
Emphasis: Asymptotic analysis, finite-difference schemes, integral equations, interior-point methods, nonlinear waves and coherent structures, numerical optimization, perturbation methods, quasi-Newton methods, Unified Transform Method of Fokas, water wave equations
Non-Work Related Activities/Interests:
Graduate Student Mentorship Program (Summer 2020 – Fall 2020, Summer 2019 – Fall 2019) — Guidance and assistance for incoming first-year graduate students into the Applied Mathematics Department at UW
Lockwood Elementary School Math Fair (December 11, 2019) — Demonstrations in mathematics for 4th and 5th grade students
Northshore Middle School Math Fair (March 14, 2019) — Demonstrations in mathematics for a district-wide after-school math fair
Applied Partial Differential Equations Seminar (Spring 2018 – today) — In charge of weekly seminar that focuses on study of analytical & numerical solution methods for PDEs, analysis of their solutions, and their applications, among other topics