I am currently a researcher at MBZUAI in Abu Dhabi. Originally from the Slovak Republic, I lived there until completing my Bachelor’s degree in Informatics at Comenius University. With a strong background in both Mathematics and Computer Science, I was eager to pursue research early in my career, which led me to enroll in a joint MSc./Ph.D. program at KAUST.
My research centers on advancing the understanding of basic optimization techniques. Recently, I have been particularly focused on Newton-type methods, while in the past, I worked across a range of topics, including distributed optimization, federated learning, and stochastic optimization.
Outside of research, I enjoy playing team sports, especially ultimate frisbee. I appreciate the game for its emphasis on fair play and spirit of the game. Back in Slovakia, I represented the Slovak youth national team.
King Abdullah University of Science and Technology, Saudi Arabia
2020 – 2023: Ph.D., Applied Mathematics and Computational Science, group of prof. Richtárik
Thesis: Adaptive optimization algorithms for machine learning
2019 – 2020: MSc.., Applied Mathematics and Computational Science, group of prof. Richtárik
Topic: Optimization for machine learning
Comenius University, Slovakia
2016 – 2019: BSc., Computer Science
Thesis: Random sampling from uniform distribution on multidimensional polyhedra
Mohamed bin Zayed University of AI, Abu Dhabi
2024 – present: Postdoctoral researcher
Research topics: Distributed optimization, higher-order optimization
Management roles: grant coordinator, student supervisor
2022, Jun-Aug: Research assistant
Developed second-order algorithms that are fast, practical, and provably convergent
Flatiron Institute, Simons Foundation, New York
2022, Jun-Aug: Research associate
Investigated machine learning loss reformulations and designed fast variance-reduced algorithms
Wincent (crypto trading company), Slovakia
2020, Jun–Aug: Research intern/software engineer
Analyzed and modeled the company's resource allocation. Designed and implemented the resource optimization algorithms under various constraints
Iuventa (Mathematical Olympiad)
2017 – 2019: Organizer of the national selection camp for the International Mathematical Olympiad
Created problem sets, marked the solutions
Restructured the format of the camp (team of 4 people)
Trojsten (nonprofit organization), Slovakia
2016 – 2019: Volunteer
Prepared Math & CS competitions and camps for talented high school students
Organized 14 competitions (3 as a head organizer), 20 camps (4 as a head organizer)
Problem selection (20 sets, ∼ 200 hours of work), marking solutions (∼ 600 solutions, ∼ 150 hours of work)
Lectured 38 lectures
King Abdullah University of Science and Technology, Saudi Arabia
2023: Assistant for federated learning research
Assisted students with the following aspects of research: project proposal, literature review, algorithm development, experiment design, result presentation, write-up, and conference submission
Event organizer
2022: Organized an international ultimate frisbee tournament
The largest tournament in the MENA region and the first mixed tournament in Saudi Arabia
2021: Organized a research group seminar
Researcher
Topics: federated learning, higher-order algorithms, stochastic optimization
Reviewer at journals JOTA, TMLR, and conferences NeurIPS, ICML, AISTATS
Programming
Python, PyTorch, C/C++, SQL, Bash, Julia
Flexibility: experience with Java, Javascript, Matlab, R, Mathematica, Haskell
Real-life time saving: automatization of recurring tasks (sending emails, filling forms, etc.)
Cross-cultural communication
Studied, worked, and lived in various international communities