Address

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

Contact Information

Email:

Daniel Wälchli

PhD Student

Research and Interests

  • (Multi Agent) Reinforcement Learning
  • Inverse Reinforcement Learning
  • Uncertainty Quantification
  • Stochastic Optimization
  • High Performance Computing and General Purpose GPU Computing
  • Software Engineering
  • Entrepreneurship

Current Project

    Korali A High-Performance Framework for Uncertainty Quantification, Optimization, and Reinforcement Learning

Practical Experience

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

Education

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

Publications

2020

  • M. Chatzimanolakis, P. Weber, G. Arampatzis, D. Wälchli, I. Kičić, P. Karnakov, C. Papadimitriou, and P. Koumoutsakos, “Optimal allocation of limited test resources for the quantification of COVID-19 infections,” Swiss Med. Wkly., 2020.
    [BibTeX] [PDF] [DOI]
    @article{chatzimanolakis2020a,
    author = {Michail Chatzimanolakis and Pascal Weber and Georgios Arampatzis and Daniel W{\"a}lchli and Ivica Ki\v{c}i\'{c} and Petr Karnakov and Costas Papadimitriou and Petros Koumoutsakos},
    doi = {10.4414/smw.2020.20445},
    journal = {{Swiss Med. Wkly.}},
    month = {dec},
    publisher = {{EMH} Swiss Medical Publishers, Ltd.},
    title = {Optimal allocation of limited test resources for the quantification of {COVID}-19 infections},
    url = {http://www.cse-lab.ethz.ch/wp-content/papercite-data/pdf/chatzimanolakis2020a.pdf},
    year = {2020}
    }

  • P. Karnakov, G. Arampatzis, I. Kičić, F. Wermelinger, D. Wälchli, C. Papadimitriou, and P. Koumoutsakos, “Data-driven inference of the reproduction number for covid-19 before and after interventions for 51 european countries,” Swiss Med. Wkly., iss. 150:w20313, 2020.
    [BibTeX] [PDF] [DOI]
    @article{karnakov2020b,
    author = {Karnakov, Petr and Arampatzis, Georgios and Ki\v{c}i\'{c}, Ivica and Wermelinger, Fabian and W{\"a}lchli, Daniel and Papadimitriou, Costas and Koumoutsakos, Petros},
    doi = {https://doi.org/10.4414/smw.2020.20313},
    journal = {{Swiss Med. Wkly.}},
    number = {150:w20313},
    publisher = {FMH},
    title = {Data-driven inference of the reproduction number for COVID-19 before and after interventions for 51 European countries},
    url = {http://www.cse-lab.ethz.ch/wp-content/papercite-data/pdf/karnakov2020b.pdf},
    year = {2020}
    }

  • D. Wälchli, S. M. Martin, A. Economides, L. Amoudruz, G. Arampatzis, X. Bian, and P. Koumoutsakos, “Load balancing in large scale bayesian inference,” in Proceedings of the platform for advanced scientific computing conference – PASC ’20, 2020.
    [BibTeX] [PDF] [DOI]
    @inproceedings{walchli2020a,
    author = {Daniel W\"{a}lchli and Sergio M. Martin and Athena Economides and Lucas Amoudruz and George Arampatzis and Xin Bian and Petros Koumoutsakos},
    booktitle = {Proceedings of the Platform for Advanced Scientific Computing Conference – {PASC} {\textquotesingle}20},
    doi = {10.1145/3394277.3401849},
    month = {jun},
    publisher = {{ACM}},
    title = {Load Balancing in Large Scale Bayesian Inference},
    url = {http://www.cse-lab.ethz.ch/wp-content/papercite-data/pdf/walchli2020a.pdf},
    year = {2020}
    }

2019

  • G. Arampatzis, D. Wälchli, P. Weber, H. Rästas, and P. Koumoutsakos, “(μ,Λ)-ccma-es for constrained optimization with an application in pharmacodynamics,” in Proceedings of the platform for advanced scientific computing conference – PASC ’19, 2019.
    [BibTeX] [PDF] [DOI]
    @inproceedings{arampatzis2019a,
    author = {Arampatzis, Georgios and W\"{a}lchli, Daniel and Weber, Pascal and R\"{a}stas, Henri and Koumoutsakos, Petros},
    booktitle = {Proceedings of the Platform for Advanced Scientific Computing Conference - {PASC} {\textquotesingle}19},
    doi = {10.1145/3324989.3325725},
    keywords = {Stochastic optimization, constraint handling, covariance matrix adaptation, evolution strategy, pharmacodynamics, viability evolution},
    publisher = {{ACM} Press},
    title = {(\Μ,{\Lambda})-CCMA-ES for Constrained Optimization with an Application in Pharmacodynamics},
    url = {http://www.cse-lab.ethz.ch/wp-content/papercite-data/pdf/arampatzis2019a.pdf},
    year = {2019}
    }

2018

  • 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]
    @article{arampatzis2018a,
    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 = {http://www.cse-lab.ethz.ch/wp-content/papercite-data/pdf/arampatzis2018a.pdf},
    volume = {40},
    year = {2018}
    }