Καλώς Ήλθατε - Welcome
This is my homepage where you can find stuff related to my work.
I have a background in data assimilation (DA), with a focus on variational Bayesian algorithms. More broadly, my research interests lie in the area of probabilistic machine learning. I am particularly interested in quantifying the uncertainty that is associated with predictions of physical (dynamical) systems. I also enjoy implementing and prototyping non-trivial numerical algorithms.
Since February 2020 I have relocated to Italy and currently hold a research position at the Department of Pharmacy, University of Naples - Federico II. I am working on the research and development of machine learning and artificial intelligence methods to NMR data for protein structure prediction.
In the past (2016--2020) I was a data scientist at the Central Laser Facility in Oxford -- UK, working with the OCTOPUS research group. In that role I was focused on developing and applying computational methods (in C++ and Python) to maximize the scientific potential, of the data obtained within the facility, by maximizing the automatic throughput, via the application of robust, accurate and precise data analysis methods to enable scaling up the process and translation to the clinic.
Before that I finished my tenure as an Associate Specialist at U. C. Berkeley, Dept. of Earth & Planetary Science, working under the supervision of Prof. Inez Fung. I am also a former member of the Mathematics and Climate research Network (MCRN).
Past research positions include: a Post-Doctoral Research Fellowship at Non-Linearity & Complexity Research Group (NCRG) at Aston University, under the supervision of Dr. Dan Cornford (currently Director at IGI), where I was working on the development of novel variational methodologies for data assimilation. In addition, for a short period of time I also worked as a Post-Doctoral Research Associate with Dr. Richard Wilkinson at the University of Nottingham.
I was awarded a PhD in Machine Learning / Data assimilation (Aston University, March 2011). My graduate thesis focuses on variational approximation methods for diffusion processes, from a Bayesian point of view.
Prior to that, I obtained a B.Sc in Information Engineering graduating first of my class (GPA: 87/100), from Dept. of Information and Electronic Engineering of the International Hellenic University (formerly known as Alexander Technological Educational Institute of Thessaloniki) Greece, with focus on parallel genetic algorithms.
My research interests include (but not limited to):
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