I'm pursuing PhD in AI at the Jagiellonian University, I live in Kraków, Poland.

Click on the relevant icon to find out more about myself.

Work

More info research page. You can find out more about my on-going projects by contacting me. Here I list my most recent projects.

My academic interests

I am into numerous areas of machine learning and mathematics, including (but not limitted to)

Bayesian Learning

Building models to comprehend the notion of uncertainty.

  • GFlowNets
  • Scalable Probabilistic
  • Variational Gradient Descent
  • Training with hypernetworks
  • Calibrated Meta-Learning

Continual Learning

Learning from non-stationary, continually changing data.

  • Links with Bayesian
  • Change of distribution
  • Buffor-free-based methods
  • Energy-based models in CL
  • Visualization in CL

Optimization

Designing universal approaches to reduce the computations.

  • Break-Even Point
  • Locality of Neurons.
  • Non-gradient-based training
  • Second-order information
  • Optimal Transport

Geometry and Topology

Understanding the structure and relation of underlying spaces.

  • Topology in ML
  • Symmetric structures
  • Loss landscape
  • Invariance in Neural Nets
  • Informative augmentations
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I am a very positive thinker, and I think that is what helps me the most in difficult moments.

— Mateusz Pyla Roger Federer

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Do not lord it over the group which is in your charge, but be an example for the flock.

— 1 Peter 5, 3.

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It is all right letting yourself go, as long as you can get yourself back.

— The Rolling Stones