Research interests
- Bayesian statistics and uncertainty quantification
- Large deviations, optimal transport and learning theory
Katerina Papagiannouli
Researcher in Statistics and Mathematics of Deep Leaning Theory
My research lies at the intersection of probability, statistics, optimal transport, optimization and deep learning theory.
I am an RTD-A in the Department of Mathematics at the University of Pisa, funded by FAIR — Future Artificial Intelligence Research, close collaborators Dario Trevisan.
Prior to this, I was a postdoctoral researcher at the Max Planck Institute for Mathematics in the Sciences in Leipzig, where I worked under the supervision of Sayan Mukherjee and Guido Montúfar .
I obtained my PhD in Mathematical Statistics from the Department of Mathematics at Humboldt University of Berlin.
Contact: aikaterini.papagiannouli at unipi.it
Research
Selected projects
current work, major collaborations, ongoing papers.
Publications
A full publication page can be found on ArXiv and Google Scholar
Teaching
Courses
- Mathematical Statistics
- Data Analysis
- Probability Theory
Office hours
Upon request.
Materials
link to course pages.