About me

I am a PhD student in the Computer Science Department at JHU, being co-advised by Nicolas Loizou and Renè Vidal. I am also a Visiting Student at UPenn, working with Renè Vidal.

My research interests lie in the intersection of Machine Learning Theory, (multi-agent) Optimization, Game Theory and Theoretical Computer Science.

Before coming to the States, I graduated with a Diploma in Electrical and Computer Engineering and I worked with Dimitris Fotakis and Pavlos Efraimidis on the intersection of opinion dynamics and theoretical computer science.

Research!

I am deeply passionate about understanding how AI really works at a foundational level. My research focuses on building the theoretical foundations that shape today’s learning systems, using a blend of algorithmic ideas and optimization techniques. I believe that only with a solid understanding and a strong scientific framework can we ensure the safe, reliable, and impactful integration of AI into our everyday lives.

I am, also, fascinated by the dynamics in multi-agent environments, where (AI) agents interact and make decisions based on their individual goals and incentives. In such complex environments, I enjoy merging game theory with optimization to orchestrate meaningful interactions between agents, ensuring that the whole system functions effectively.

If you are interested in any of the above ideas, feel free to send me an email!

Selected Honors & Awards

Publications & Research

Professional Service