ABOUT ME

I am a senior researcher at the Asset Management AI Center of Excellence of Fidelity Investments, working in Igor Halperin's team. Currently, my projects revolve around time-series low-dimensional representations and stable clustering schemes, as well as financial market simulation models and asset allocation methods.

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Prior to that, I was a post-doctoral researcher at the Division of Applied Mathematics of Brown University, working under the supervision of George Karniadakis. I focused on physics-informed deep learning and meta-learning, as well as uncertainty quantification, for addressing forward and inverse problems involving partial differential equations, and operator learning problems. 

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I received my Ph.D. degree in computational stochastic dynamics from Columbia University under the supervision of Ioannis Kougioumtzoglou. During my doctoral studies, I developed analytical and numerical stochastic methodologies for the analysis and optimization of complex engineering systems under the presence of uncertainties. This research will be published in the form of a book co-authored by Profs. Kougioumtzoglou and Spanos, as well as myself, by Springer Nature within 2024.

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I hold an M.Sc. and a Diploma in Engineering from UT Austin and University of Patras (Greece), respectively.

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My work has been awarded with the Mindlin Scholar in Civil Engineering and Engineering Mechanics award from Columbia University, with three Best Student Paper awards, and with several fellowships.