My Curriculum

(pdf) Link to my detailed CV with publication list.

Research Interests

Optimization for huge-scale problems
Stochastic & online learning, adaptive methods
Primal-dual optimization, operator splitting
Semidefinite programming
Non-convex optimization and implicit regularization

Education / Affiliation

(Assistant Professor) September 2021 -
Umeå University
Department of Mathematics and Mathematical Statistics

(Postdoctoral fellow) Jan 2020 - July 2021
Massachusetts Institute of Technology (MIT)
Institute for Data, Systems and Society (IDSS)
Laboratory for Information and Decision Systems (LIDS)
Advisor: Prof. Suvrit Sra
(PhD) Sep 2013 - Aug 2019
Ecole Polytechnique Federale de Lausanne (EPFL)
Computer, Communication and Information Sciences (EDIC)
Laboratory of Information and Inference Systems (LIONS)
Advisor: Prof. Volkan Cevher
Thesis: Scalable convex methods for semidefinite programming
Distinction: Doctoral School Thesis Distinction
(Visiting student) Sep 2018 - Dec 2018
Massachusetts Institute of Technology (MIT)
Institute for Data, Systems and Society (IDSS)
Laboratory for Information and Decision Systems (LIDS)
Host: Prof. Suvrit Sra
(BSc) Sep 2009 - June 2013
Middle East Technical University (METU)
Electrical and Electronics Engineering
(BSc) Sep 2009 - June 2013
Middle East Technical University (METU)
Physics

Collaborators

Prof. Volkan Cevher, EPFL
Prof. Suvrit Sra, MIT
Prof. Joel Aaron Tropp, Caltech
Prof. Quoc Tran-Dinh, UNC
Prof. Olivier Fercoq, Telecom ParisTech
Prof. Madeleine Udell, Cornell
Francesco Locatello, ETH Zurich - MPI
Please check my Google Scholar page for an extensive list.