I am currently an assistant professor of Machine Learning at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI). Prior to that, I completed my MS and Ph. D. in statistics at King Abdullah University of Science and Technology (KAUST), advised by professor Peter Richtárik. Before that, I was an undergraduate student in Financial Mathematics at Comenius University.
In my research, I focus on providing a fundamental understanding of how distributed and federated training algorithms work and how they interact with different sources of heterogeneity, such as system-level variability in the computing infrastructure and statistical variability in the training data. Inspired by the theoretical insights, I aim to design efficient and practical distributed/federated training algorithms.
I am broadly interested in federated learning, distributed optimization, and efficient deep learning.
I am always looking for collaborators. Please reach out if any of my work sounds interesting. For prospective students and interns, please have a look here.
Latest News (All News):
(31/10/2022) Travelled to KAUST to attend and give a talk at the KAUST 2022 Workshop on Statistics
(26/10/2022) New paper out
(25/10/2022) Gave a talk on Federated Learning at Arab Youth Center
(13/10/2022) Attended and gave a talk at the 1st CASL Workshop
(12/10/2022) Attended GITEX Global to represent MBZUAI, gave a talk on Federated Learning and recorded a podcast.
(08/10/2022) Co-organized Workshop on Collaborative Learning From Theory to Practice
2019 - 2022 Ph.D. in Statistics, King Abdullah University of Science & Technology (KAUST)
2018 - 2019 MSc in Statistics, King Abdullah University of Science & Technology (KAUST)
2014 - 2017 BSc in Applied Mathematics, Comenius University
(Fall 2021) Facebook AI Research, Montreal, hosted by Mike Rabbat
(Fall 2020) Samsung AI Center, Cambridge, hosted by Stefanos Laskaridis and Nicholas Lane
(Summer 2019) Amazon AWS, Berlin, hosted by Cédric Archambeau
(Spring 2019) University of California, Berkeley, hosted by Michael Jordan
(2022) Among Top 10% Reviewers, ICML 2022
(2022) Dean’s list, an academic excellence award for top Ph.D. student(s) at KAUST
(2021) Al-Kindi Statistics Research Student Award, a research award for top Statistics Ph.D. student(s) at KAUST
(2020) Best Paper Award (+ 1,888 USD cash prize), NeurIPS 2020–SpicyFL Workshop
(2020) Best Reviewer Award (Top 10%), NeurIPS 2020
(2018) Best Poster Award (+ 500 EUR cash prize), Data Science Summer School, awarded as one of 2 out of total of 170 posters presented at DS3 at École Polytechnique