Postdoctoral Researcher
March 2023 — Present · University of ZurichInstitute of Neuropathology (Prof. Adriano Aguzzi) · Department of Quantitative Biomedicine (Prof. Magdalini Polymenidou). Developing computational pipelines for 3D whole-brain image analysis using light-sheet microscopy. Building deep learning and Bayesian methods for neuronal cell detection and drug efficacy quantification.
External Lecturer
January 2023 — Present · ETH ZurichCourse: High Performance Computing for Science and Engineering II (HPCSE II). Department of Mechanical and Process Engineering (D-MAVT).
Teaching Fellow & Postdoctoral Associate
January 2021 — December 2022 · Harvard UniversityCourse: Introduction to Fluid Mechanics and Transport Processes (ES123). John A. Paulson School of Engineering and Applied Sciences.
Postdoctoral Researcher
November 2020 — December 2022 · ETH Zurich & University Hospital of ZurichComputational Science and Engineering Lab (Prof. Petros Koumoutsakos) · Institute of Neuropathology (Prof. Adriano Aguzzi). Developed image processing pipelines for 3D mouse brain data and contributed to the Korali Bayesian UQ framework.
Visiting PhD Student
March 2017 — June 2017 · Massachusetts General HospitalCenter for Engineering in Medicine (Prof. Mehmet Toner).
Research Assistant (PhD Student)
October 2014 — October 2020 · ETH ZurichComputational Science and Engineering Lab (Prof. Petros Koumoutsakos). Developed Bayesian uncertainty quantification methods for red blood cell models and contributed to HPC frameworks for large-scale scientific computing.
Ph.D., Computational Science & Engineering
2014 — 2020 · ETH Zürich, D-MAVT
M.Sc., Mechanical Engineering
2013 — 2015 · University of Cyprus
B.Sc., Mechanical Engineering
2009 — 2013 · University of Cyprus
External Lecturer — HPCSE II
Spring 2023 · ETH Zurich
Head TA — High Performance Computing for Science & Engineering I
Fall 2022 · ETH Zurich
Teaching Fellow — ES123: Intro to Fluid Mechanics & Transport Processes
Spring 2022 · Harvard University
Head TA — High Performance Computing for Science & Engineering II
Spring 2021 · ETH Zurich
TA — High Performance Computing for Science & Engineering I
2017–2019 · ETH Zurich
TA — Computational Methods for Engineering Applications
2015–2016 · ETH Zurich
TA — Engineering Tool III: Object-Oriented Programming with C++
Spring 2015 · ETH Zurich
- Bracha, S., et al. "Engineering Toxoplasma gondii secretion systems for intracellular delivery of multiple large therapeutic proteins to neurons." Nature Microbiology (2024). DOI
- Catto, F., et al. "Quantitative 3D histochemistry reveals region-specific amyloid-β reduction by the antidiabetic drug netoglitazone." PLoS One 20.5 (2025). DOI
- Amoudruz, L., Economides, A., Arampatzis, G. and Koumoutsakos, P. "The stress-free state of human erythrocytes: Data-driven inference of a transferable RBC model." Biophysical Journal (2023). DOI
- Martin, S.M., Wälchli, D., Arampatzis, G., Economides, A.E., et al. "Korali: Efficient and scalable software framework for Bayesian uncertainty quantification and stochastic optimization." Computer Methods in Applied Mechanics and Engineering 389 (2022). DOI
- Economides, A., Arampatzis, G., et al. "Hierarchical Bayesian uncertainty quantification for a model of the red blood cell." Physical Review Applied 15(3) (2021). DOI
- Wälchli, D., Martin, S.M., Economides, A., et al. "Load balancing in large scale Bayesian inference." Proceedings of the Platform for Advanced Scientific Computing Conference (2020). DOI
- Python, C/C++
- Deep Learning (StarDist, Cellpose, PyTorch)
- 3D Image Processing
- Light-Sheet Microscopy
- Bayesian Inference & UQ
- High Performance Computing (MPI, OpenMP)
- Scientific Computing
- Data Visualization
- Git, Linux, HPC Clusters
- MATLAB, R
