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Personal profile


“Mathematics knows no races or geographic boundaries; for mathematics, the cultural world is one country.” David Hilbert (1862—1943, German mathematician)

Research profile

Oliver Tse is an Assistant Professor in the Applied Analysis group of the Centre for Analysis, Scientific computing and Applications (CASA) at Eindhoven University of Technology (TU/e). Oliver’s areas of expertise include modeling and simulation, numerical simulation, optimization, mathematical modeling, nonlinear dynamics, stability analysis, parameter estimation and optimal control.

His research topics have included

Nonlinear diffusion systems: well-posedness

Kinetic equations: qualitative properties, multiscale modelling and numerical simulation

Optimal control with PDEs: analysis of adjoint-based methods

Interacting particle systems: consensus-based methods in global optimization, disease dynamics

Oliver is interested in anything and everything that helps him understand the origin and intricate behavior of nonlinear and nonlocal Partial Differential Equations (PDEs). His current interest lies on the connections between optimal transport, (generalized) gradient flows and large deviations, and in probabilistic methods for studying PDEs. He hopes to develop new analytical tools by unveiling or establishing these connections.

Academic background

Oliver Tse obtained his master’s degree in Applied Mathematics at the University of Kaiserlautern (sponsored by the Fraunhofer Institute for Industrial Mathematics), and later went on to earn his doctorate (Dr. rer. nat.) in 2011 under the supervision of Prof. René Pinnau. Oliver worked for this university for five years, including two years as an Assistant Professor in the Industrial Mathematics group (Department of Mathematics).

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being


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