About me

I am a 4th year PhD candidate in Operations Research at MIT, where I am advised by Georgia Perakis. My research lies in the intersection of deep learning and discrete optimization with applications in neural networks optimization, causal ML, counterfactual explanations, hierarchical time series, LLMs, and healthcare.

Before that, I did my masters in Data Science & Machine Learning at the National Technical University of Athens (NTUA), Greece, advised by Manolis Georgoulis and Michail Loulakis. I did my undergrad in Electrical and Computer Engineering at NTUA, advised by Nektarios Koziris.

My work is supported by IBM Research, the Onassis Foundation and the Foundation for Education and European Culture.

My latest CV is available here

Updates

• Our paper Overcoming the Optimizer’s Curse: Obtaining Realistic Prescriptions from Neural Networks was accepted at ICML 2024!
• Our paper Learning the Optimal Reconciliation for Hierarchical Time Series was accepted at ICML 2024!
• I will be joining Jump Trading as a Quantitative Research Intern this summer in Chicago!