yorgos-pantis
Yorgos Pantis

Research Interests:
Yorgos' research interests lie in the in­ter­face of the foundation of Machine Learning with Sta­tis­tics and Prob­a­bil­ity The­ory. 

Short Bio:

Yorgos holds a 4-year bachelor’s degree in Mathematics with a focus on Statistics from the University of Patras, where he graduated in the top 1% of his class and received numerous awards. He later continued his studies at the University of Oxford, obtaining a fully funded 1-year master’s degree in Statistics. After that, he spent almost three years working on Natural Language Processing and Optimization at the Technical University of Denmark, Athena Research Centre, Czech Technical University in Prague, and the Max Planck Institute. The projects he was involved in focused on the intersection of Large Language Models and Optimization with History/Privacy, and Deep Neural Networks, respectively, culminating in two publications in EMNLP 2022 and the journal Computers & Security.

He is currently a Ph.D. student at the University of Athens, working under the supervision of Christos Tzamos on theory-based Machine Learning methods with applications in Optimization, Combinatorics, and Learning Theory.



 
 

The project “ARCHIMEDES Unit: Research in Artificial Intelligence, Data Science and Algorithms” with code OPS 5154714 is implemented by the National Recovery and Resilience Plan “Greece 2.0” and is funded by the European Union – NextGenerationEU.

greece2.0 eu_arch_logo_en

 

Stay connected! Subscribe to our mailing list by emailing sympa@lists.athenarc.gr
with the subject "subscribe archimedes-news Firstname LastName"
(replace with your details)