Vasileios Charisopoulos
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AI & Science Postdoctoral Fellow |
I am an AI & Science Postdoctoral Fellow at the Data Science Institute of the University of Chicago. My mentor is Rebecca Willett.
In Fall 2025, I will join the Electrical & Computer Engineering department at the University of Washington as an Assistant Professor.
Prospective students: If you are interested in working with me, make sure to apply to the UW ECE PhD program and mention my name in your application!
About me
I received my PhD in Operations Research & Information Engineering from Cornell University in 2023, where I was fortunate to be advised by Damek Davis. While at Cornell, I also collaborated with Anil Damle and Austin Benson from Cornell CS. I have been a research intern at Google Research, working on large-scale linear and quadratic programming solvers with the Algorithms and Optimization team, as well as Google Cloud, working on analytics for virtual machine scheduling. I received my Diploma in Electrical & Computer Engineering in 2017 from the National Technical University of Athens (NTUA), Greece, under the supervision of Petros Maragos, and worked as a researcher in the TROPICAL team at INRIA with Xavier Allamigeon and Stephane Gaubert before starting my PhD.
I was named a Rising Star in Computational and Data Sciences by the UT Austin Oden Institute in 2023 and received the Cornelia Ye Outstanding Teaching Assistant Award by Cornell University in 2021.
You can grab a recent copy of my CV here.
Selected talks
Nonlinear tomographic reconstruction via nonsmooth optimization (Slides).
A superlinearly convergent subgradient method for sharp semismooth problems (Slides).
Communication-efficient distributed eigenspace estimation (Slides).
Research
My research interests span continuous optimization, high-dimensional statistical estimation and numerical linear algebra. In the past, I have worked on tropical geometry for machine learning and automated theorem proving.