About Me
Hi there! I am a first-year PhD student in the Machine Learning Department at Carnegie Mellon University. My interests broadly span deep learning theory, optimization, and statistical learning theory. The ultimate goal of my research is to develop a mathematical understanding of what and how modern deep learning models learn.
Before joining CMU, I completed an MMath in Computer Science at the University of Waterloo’s Cheriton School of Computer Science, where I was advised by Professor Kimon Fountoulakis. During my master’s, I was also a Summer Research Fellow in the Statistical Machine Learning group at ETH Zurich.
Earlier, I served as a Research Assistant at the Centre for Quantum Technologies in Singapore, where I studied quantum attacks on post-quantum cryptosystems. I received my Bachelor’s degree in Pure Mathematics from the National and Kapodistrian University of Athens, ranking first in my cohort.
I am grateful to the Onassis Foundation and the A.G. Leventis Foundation for their generous support of my PhD studies.
Selected Publications
Google ScholarLearning to Execute Graph Algorithms Exactly with Graph Neural Networks
On the Statistical Query Complexity of Learning Semiautomata: a Random Walk Approach
Learning to Add, Multiply, and Execute Algorithmic Instructions Exactly with Neural Networks
Exact Learning of Permutations for Nonzero Binary Inputs with Logarithmic Training Size and Quadratic Ensemble Complexity
Positional Attention: Expressivity and Learnability of Algorithmic Computation
Awards
- A.G. Leventis Foundation Educational Grant for doctoral studies (Sept. 2026)
- Onassis Foundation Scholarship for PhD studies (Sept. 2026)
- Onassis Foundation Scholarship for Master’s studies (Sept. 2024 – Apr. 2026)
- International Master’s Award of Excellence, University of Waterloo (Sept. 2024– Apr. 2026)
- David R. Cheriton Graduate Scholarship, University of Waterloo (Sept. 2024– Apr. 2026)