Jorge Cisneros Paz

Institution/Organization: University of Washington

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


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