Address

Chair of Computational Science
Clausiusstrasse 33
ETH-Zentrum, CLT E 11
CH-8092 Zürich

Contact Information

Email:

Athena Economides

Post-doctoral Fellow

Research and Interests

  • Quantitative imaging in Neuropathology.
  • Computational microfluidics of blood flow.
  • Bayesian inference & Uncertainty Quantification.

Education

  • Ph.D., CSElab, ETH Zürich, 2020.
  • M.Sc., Mechanical Engineering, University of Cyprus, 2015.
  • B.Sc., Mechanical Engineering, University of Cyprus, 2013.

Teaching

  • Teaching Fellow at Harvard University (ES123, Spring 2022).
  • Head TA: High Performance Computing for Science and Engineering II (Spring 2021).
  • TA: High Performance Computing for Science and Engineering I (2017-2019).
  • TA: Computational Methods for Engineering Applications (2015-2016).
  • TA: Engineering Tool III: Object oriented programming with C++ (Spring 2015).

Publications

>>> Submitted <<<

  • L. Amoudruz, A. Economides, G. Arampatzis, P. Koumoutsakos. The stress-free state of human erythrocytes: data driven inference of a transferable RBC model (2022). Submitted to Biophysical Journal. A summary of this study along with expected values for the mechanical properties of our RBC model is already available in Lucas’ PhD thesis: Check out Chapter 5 !

2021

  • A. Economides, G. Arampatzis, D. Alexeev, S. Litvinov, L. Amoudruz, L. Kulakova, C. Papadimitriou, and P. Koumoutsakos, “Hierarchical bayesian uncertainty quantification for a model of the red blood cell,” Phys. Rev. Appl., vol. 15, iss. 3, 2021.
    [BibTeX] [PDF] [DOI]
    @article{economides2021a,
    author = {Athena Economides and Georgios Arampatzis and Dmitry Alexeev and Sergey Litvinov and Lucas Amoudruz and Lina Kulakova and Costas Papadimitriou and Petros Koumoutsakos},
    doi = {10.1103/physrevapplied.15.034062},
    journal = {{Phys. Rev. Appl.}},
    month = {mar},
    number = {3},
    publisher = {American Physical Society ({APS})},
    title = {Hierarchical Bayesian Uncertainty Quantification for a Model of the Red Blood Cell},
    url = {http://www.cse-lab.ethz.ch/wp-content/papercite-data/pdf/economides2021a.pdf},
    volume = {15},
    year = {2021}
    }

  • S. M. Martin, D. Wälchli, G. Arampatzis, A. E. Economides, P. Karnakov, and P. Koumoutsakos, “Korali: Efficient and scalable software framework for Bayesian uncertainty quantification and stochastic optimization,” Comput. Method. Appl. M., p. 114264, 2021.
    [BibTeX] [PDF] [DOI]
    @article{martin2021a,
    author = {Sergio M. Martin and Daniel W\"alchli and Georgios Arampatzis and Athena E. Economides and Petr Karnakov and Petros Koumoutsakos},
    doi = {10.1016/j.cma.2021.114264},
    journal = {{Comput. Method. Appl. M.}},
    month = {nov},
    pages = {114264},
    publisher = {Elsevier {BV}},
    title = {{Korali: Efficient and scalable software framework for Bayesian uncertainty quantification and stochastic optimization}},
    url = {http://www.cse-lab.ethz.ch/wp-content/papercite-data/pdf/martin2021a.pdf},
    year = {2021}
    }

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}
    }

2017

  • A. Economides, L. Amoudruz, S. Litvinov, D. Alexeev, S. Nizzero, P. E. Hadjidoukas, D. Rossinelli, and P. Koumoutsakos, “Towards the virtual rheometer,” in Proceedings of the platform for advanced scientific computing – PASC ’17, 2017.
    [BibTeX] [PDF] [DOI]
    @inproceedings{economides2017a,
    author = {Athena Economides and Lucas Amoudruz and Sergey Litvinov and Dmitry Alexeev and Sara Nizzero and Panagiotis E. Hadjidoukas and Diego Rossinelli and Petros Koumoutsakos},
    booktitle = {Proceedings of the Platform for Advanced Scientific Computing - {PASC} {\textquotesingle}17},
    doi = {10.1145/3093172.3093226},
    publisher = {{ACM} Press},
    title = {Towards the Virtual Rheometer},
    url = {http://www.cse-lab.ethz.ch/wp-content/papercite-data/pdf/economides2017a.pdf},
    year = {2017}
    }

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