Kaja Gruntkowska (visiting PhD student)

         Research Interests:

  • Optimization for Machine Learning
  • Federated Learning

Biography

I am a PhD student at KAUST, where I am advised by Prof. Peter Richtárik. My research focuses on developing the algorithmic and mathematical foundations of randomized optimization, with a particular emphasis on distributed computing. I design practically motivated algorithms with provable convergence guarantees, aiming to bridge theory and real-world applications to advance scalable machine learning.
I completed my Bachelor’s degree in Mathematics and Statistics at the University of Warwick in 2022 and earned a Master’s in Statistical Science from the University of Oxford in 2023. My work has been recognized with the Google PhD Fellowship in Algorithms and Optimization.

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