Weronika Kłos

• Generative Models
• Geometric Deep Learning
• Self-supervised Learning
• Computational Pathology
• Explainable AI

Weronika Kłos is a PhD student in the Machine Learning Group at TU Berlin and BIFOLD. She earned her Master’s degree in Data Science from FU Berlin and holds a Bachelor’s degree in Cognitive Science from Universität Osnabrück. Her previous research has focused on training Generative Adversarial Networks (GANs) for applications in Cognitive Computational Neuroscience and investigating group dynamics in honeybee colonies. Weronika’s current interests lie at the intersection of Geometric Deep Learning and Computational Pathology.