Xander De Wit Email & Phone Number

Eindhoven, Nb, Nl

Eindhoven, Noord-Brabant, Nederland

Working in the Fluids & Flows group at the Department of Applied Physics as a PhD student on the control of turbulence using Lagrangian particles, focusing on the numerical modeling and analysis of forced particles with complex shape and their two-way interaction with the flow using high performance computing.

Los Alamos, New Mexico, Verenigde Staten

Visiting student working on novel data-driven Mori-Zwanzig based machine learning techniques for time series predictive modeling of Lagrangian particles in turbulence. Part of the Center for Non-linear Science in the Computational Physics group at Los Alamos National Lab.

Boston, Massachusetts, Verenigde Staten

Research project (extracurricular) of 3 months regarding the development of a Bayesian inference method for the interpretation of optical measurements in nanoscale interferometric microscopy. Part of the Manoharan lab research group at Harvard University, Department of Physics.

Parijs, Île-De-France, Frankrijk

Research project of 3 months regarding direct numerical simulations of quasi-2D turbulence in thin layer flows. Part of the Non-linear Physics group at ENS Paris.

Eindhoven

As the Student Assessor of the Faculty Board of Applied Physics at Eindhoven University of Technology, I am the student representative within the Faculty Board, which is responsible for the organisation and strategy of the faculty. This comprises weekly meetings with the Faculty Board as well as regular meetings with the academic staff, study association, advisory board and the university board.

Eindhoven

Back-end development in Java in co-operation with one lead developer. Main project: development of a tailor-made client management system.

Master, Applied Physics, Fluids And Soft Matter

Specializing in: Computational Physics (High Performance Computing), Fluid Dynamics, and Statistics Nominated for TU/e MSc Thesis.

Honors Academy, High Tech Systems

Part of student team Cyclone: developing an autonomous racing drone. Graded: Excellent

Bachelor, Applied Physics

Ranked first of class

Gymnasium, Natuur En Techniek