Team
- Home /
- Team
Przemysław Spurek
In 2014, he defended his PhD in machine learning and information theory. In 2023, he obtained his habilitation degree and became a university professor. He has published articles at prestigious international conferences such as NeurIPS, ICML, IROS, AISTATS, ECML. He co-authored the book Głębokie uczenie. Wprowadzenie [Deep Learning. Introduction] – a compendium of knowledge about the basics of AI. He was the director of PRELUDIUM, SONATA, OPUS and SONATA BIS NCN grants.
Dawid Malarz
MSc student in Computer Science, specializing in Machine Learning. Holds a BEng in Computer Science (2025) and with over 3 years of professional experience as a Machine Learning Engineer. Research interests include neural rendering with a focus on Gaussian Splatting.
Grzegorz Wilczyński
PhD student in Technical Computer Science with a Master’s in Automatics Control and Robotics (2020) and with over 6 years of professional experience as a Machine Learning Engineer. Currently focuses his research on neural rendering, particularly Gaussian Splatting.
Joanna Waczyńska
Joanna is currently pursuing a PhD in Technical Computer Science at Jagiellonian University, with her research focused on Gaussian Splatting-based models and the human perception of the 3D world, and methods for editing 3D objects.
Kacper Marzol
CS Master’s student at Jagiellonian University. Passionate about machine learning and computer vision, with a strong interest in Gaussian Splatting and its real-world applications. Always curious and eager to turn ideas into impactful solutions.
Kornel Howil
MSc student in Computer Science, specializing in Machine Learning. Holds a BSc in Astronomy (2023) and Computer Science (2024). Research interests include natural language processing and neural rendering, with a focus on Gaussian Splatting.
Nastya Pechko
PhD student in Technical Computer Science with a Master’s in Computer Game Science (2023). Her research focuses on neural rendering, particularly Gaussian Splatting, and computer-aided design. Explores creativity through code and is passionate about emergent systems.
Piotr Borycki
MSc student in Computer Mathematics currently researching Neural Rendering, mainly Gaussian Splatting. Additionally, he has also worked on Few-Shot learning, interpretability of Deep Learning models, and applications of interval arithmetic to Neural Networks.
Weronika Smolak-Dyzewska
PhD student in Technical Computer Science at Jagiellonian University with Master’s in Bioinformatics. Passionate in 3D Gaussian Splatting and neural rendering in general. Especially, in its practical applications mainly medical ones.