Chair of Computational Science
Clausiusstrasse 33
ETH-Zentrum, CLT E11
CH-8092 Zürich

Contact Information


Daniel Wälchli

PhD Student

Research and Interests

  • Uncertainty Quantification
  • Particle Methods for Microfluidcs
  • Stochastic Optimization
  • High Performance Computing and General Purpose GPU Computing
  • Software Engineering
  • Entrepreneurship

Practical Experience

  • Financial Products Application Development & Trading IT, Bank Vontobel Zurich, 2016-2018
  • Project Management, Bank Vontobel Zurich, 2018


  • M.Sc. Computational Science and Engineering, ETHZ, 2016
  • B.Sc. Electrical Engineering & Information Technology, ETHZ, 2013



  • G. Arampatzis, D. Wälchli, P. Angelikopoulos, S. Wu, P. Hadjidoukas, and P. Koumoutsakos, “Langevin diffusion for population based sampling with an application in bayesian inference for pharmacodynamics,” SIAM J. Sci. Comput., vol. 40, iss. 3, p. B788–B811, 2018.
    [BibTeX] [PDF] [DOI]
    author = {Georgios Arampatzis and Daniel W\"alchli and Panagiotis Angelikopoulos and Stephen Wu and Panagiotis Hadjidoukas and Petros Koumoutsakos},
    doi = {10.1137/16m1107401},
    journal = {{SIAM J. Sci. Comput.}},
    month = {jan},
    number = {3},
    pages = {B788--B811},
    publisher = {Society for Industrial {\&} Applied Mathematics ({SIAM})},
    title = {Langevin Diffusion for Population Based Sampling with an Application in Bayesian Inference for Pharmacodynamics},
    url = {},
    volume = {40},
    year = {2018}