About Me
Hi there! I am a second year Master’s student at University of Waterloo’s
Cheriton School of Computer Science where I am fortunate to be advised
by professor Kimon Fountoulakis. My interests
broadly span Theoretical Machine Learning, Statistical Learning Theory, and Optimization and their connections to deep learning. The ultimate goal of my research is to develop a mathematical understanding of what and how modern deep learning models learn. Before starting my master’s, I served as a Research Assistant at the Centre for Quantum Technologies in Singapore where I studied quantum attacks to post-quantum cryptosystems. Before that, I obtained my Bachelor’s degree in Pure Mathematics from the National and Kapodistrian University of Athens, ranking first in my cohort.
I am a proud recipient of a scholarship from the Onassis Foundation, for the support of my master’s studies!
News
The paper On the Statistical Query Complexity of Learning Semiautomata: a Random Walk Approach was accepted at COLT 2026.
The paper Learning to Execute Graph Algorithms Exactly with Graph Neural Networks was accepted at ICML 2026 as a spotlight (2.2% of submissions).
The paper Learning to Add, Multiply, and Execute Algorithmic Instructions Exactly with Neural Networks was accepted at NeurIPS 2025.
The paper Exact Learning of Permutations for Nonzero Binary Inputs with Logarithmic Training Size and Quadratic Ensemble Complexity was accepted at the 3rd Workshop on High-Dimensional Learning Dynamics (HiLD) at ICML 2025.
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The paper Positional Attention: Expressivity and Learnability of Algorithmic Computation was accepted at ICML 2025.
This summer I will visit ETH Zurich as a Student Summer Reseach Fellow (SSRF)!
I was awarded the Onassis Foundation Scholarship! 🎉
I was awarded the David R. Cheriton Graduate Scholarship! 🎉
I was awarded the International Master’s Award of Excellence scholarship! 🎉