About

I am in the final year of my PhD in machine learning at the Polish Academy of Sciences, supervised by Prof. Paweł Morawiecki.
During the summer of 2024, I worked as a researcher at FDL Europe, where I adapted the large-scale foundation models to work with SAR data in collaboration with the Luxembourg Space Agency and the European Space Agency. I was also honored to receive a TAILOR grant, which allowed me to lead a project as a visiting researcher at the University of Pisa's Pervasive AI Lab, working with Prof. Vincenzo Lomonaco.
I hold an MSc degree from Jagiellonian University, where I was co-supervised by Prof. Jacek Tabor and Dr. Stanisław Jastrzębski.

My research focuses on Continual Learning (also known as Continuous or Lifelong Learning). I am especially curious about advanced and unconventional deep learning models and derivative-free optimizers. In particular, I extended Hinton's Forward-Forward algorithm to large CNNs and am currently exploring how to adapt it to transformers. I am fascinated by how autonomous agents make decisions in the face of new or imperfect information. I also enjoy encountering intelligent artificial friends and foes in video games.

If you have any questions or are interested in collaborating, feel free to email me!

When it comes to coding, I prefer Python for its simplicity and the beauty of Zen (plus, don't forget about Pip/Conda). I strive for referential transparency and adhere to the single-responsibility principle with minimal side-effects, but only when it makes coding and reusing the code for other projects faster and cleaner. The spiritual side of my work is based on Unix philosophy.

The Distilled Manifesto: Academic freedom comes first.

Research interests

I have published research on the following topics:

• Continual learning: the topic of my doctoral dissertation
• Transfer, few- and zero-shot learning
• Representation learning
• Neural network optimization algorithms (Hebbian, Forward-Forward, SFF)

And work in progress:

• Reinforcement learning
• Meta-Learning
• Anomaly detection for continual learning
• AI in video games, especially agents that interact with the player, such as NPCs and companions. I am particularly interested in designing "wild" wildlife for games like No Man's Sky.

I would be excited to collaborate on projects involving:

• Autonomous intelligent agents
• Space exploration
• Virtual (research) assistants, artificial scientists
• Robotics

Of course, I have deep faith in the supreme power of evolutionary algorithms. Just check out this naturally occurring bacterial flagellar motor that spins up to 30,000 rpm with 80-100% efficiency and can reverse its rotational direction in as short as 2–5 milliseconds!

Credits: Singh, Prashant K et al. “CryoEM structures reveal how the bacterial flagellum rotates and switches direction.”

Credits: @neivanmade, PhD