Biography
I am a computational scientist, working on applications of Bayesian Deep Learning and Graph Neural Networks. My main application domains are scientific computing and condition monitoring. I am currently a doctoral researcher at ETH Zurich.
Download my resumé.
Interests
- Probabilistic deep learing
- Deep Generative Models
- Graph Neural Networks
- Scientific Computing
Education
PhD in Machine Learning for SHM under Uncertainty, 2021
ETH Zurich
MSc Computational Science & Engineering, 2015
ETH Zurich
MSc in Civil Engineering, 2012
Aristotle University of Thessaloniki
Experience
Doctoral Researcher
ETH Zurich
Chair of Structural Mechanics and Monitoring. Research topics:
- Generative Models for UQ in engineering
- Graph Neural Networks
- Wind turbine and wind farm simulations
Research Assistant
ETH Zurich
Scientific Software Developer, Chair of Risk, Safety, and Uncertainty Quantification
Full-Stack Software Engineer
Credit Suisse
Implemented from scratch in Javascript and Python internal web-based tools for time series inspection, implemented a R-to-C++ interface for an option pricer.
Featured Publications
Events
Recent Publications
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(2021).
Structural identification with physics-informed neural ordinary differential equations.
NeuralODEs application.
(2019).
UQLab user manual--Sensitivity analysis..
UQLab Sensitivity analysis manual.