I am a second year PhD student in Computer Science at Harvard University, advised by Demba Ba. I finished my undergraduate studies at the National Technical University of Athens in Greece. My thesis was conducted at the CVSP lab under the supervision of Petros Maragos, and was focused on using tropical geometry to model and analyse Weighted Finite State Transducers' algorithms. It is available here (in Greek).
My current research focuses on the unfolding of optimization algorithms into neural networks (an area of work first introduced in the seminal paper by Karol Gregor and Yann LeCun). Within that context, and assuming a group sparse generative model, I am working on proving that a neural network with a group sparse proximal operator will converge to a neighborhood of the generating matrix. My previous work focused on applying ideas from a niche field of mathematics, tropical geometry, to problems in Computer Science. In short, I worked on the applications to Weighted Finite State Transducers, curve fitting, and the analysis of the general theoretical framework.
Broadly, my research interests revolve mainly around deep learning, mathematics, and optimization. I am particularly interested in generalization and learnability analyses in deep learning, geometric and topological approaches to machine learning, and the dynamics of optimization algorithms.
Received the Gerondelis Foundation Scholarship.
Received the Robert L. Wallace Prize Fellowship.
Served as a judge at MakeHarvard 2020.
Two papers got accepted at ICASSP2020.
Started PhD in Computer Science at Harvard University.