I am a third-year Ph.D. candidate in the Computer Science Department at Cornell University; extremely fortunate to be advised by Prof. Jon Kleinberg. I am interested in the theoretical and applied aspects of information networks. More specifically, I have worked on problems regarding statistical network models, hypergraphs, and contagion in financial and supply chain networks.

In the summer of 2023, I will intern at the Office of Applied Research in Microsoft Research. During my Ph.D., I interned at the User Modeling Research Team at Twitter Cortex, where I worked on scalable methods for node classification. I have also contributed to the open-source GeomScale organization and the volesti package.

My research is supported by a LinkedIn Ph.D. Fellowship, a grant from the A.G. Leventis Foundation, a grant from the Gerondelis Foundation, and was supported in the past by a Cornell University Fellowship.

I received my undergraduate degree from the School of Electrical and Computer Engineering at the National Technical University of Athens in July 2020, where I completed my thesis at the Computation And Reasoning Laboratory (CoReLab) under the supervision of Prof. Dimitris Fotakis. I have also been a researcher for the Business Analytics Lab (BALab) at the Department of Management Science and Technology at the Athens University of Economics and Bussiness, supervised by Prof. Diomidis Spinellis working on applications of machine learning and networks on the topic of software architecture recovery.

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My personal pronouns are he/him/his.

Papers

Contact

302 Gates Hall Campus Rd, Ithaca, NY 14853

e-mail: papachristoumarios (at] cs [dot) cornell (dot] edu