About me

My name is Georgios Smyrnis, and I am a fourth year PhD student at The University of Texas at Austin. I am supervised by Professor Alexandros Dimakis.

My work lies in the intersection of theoretical and applied aspects of machine learning. My topics of interest include contrastive learning and self-supervision, with applications to the fields of distillation and inverse problems. Recently, I have also worked on the field of creation of large-scale datasets, for the training of foundation models.

In 2020, I graduated with my Diploma in Electrical and Computer Engineering, from the National Technical University of Athens. Under the supervision of Professor Petros Maragos, I worked on the application of tropical algebra and geometry in the study of neural networks.

During the summer of 2022, I was a student researcher at Google, in Mountain View, California.

I am also the proud recipient of a scholarship from the Onassis Foundation, for the support of my doctorate studies.