I am a doctoral student in Computer and Communication Sciences at EPFL, advised by Prof. Alexander Mathis and Prof. Olaf Blanke. During my doctorate, I focus on modelling touch and proprioception with deep learning. I am also interested in computer vision, especially in the context of human-object interaction. Ultimately, I aim to build better AI systems that are inspired by the brain, e.g. that explain neural data and are susceptible to illusions.
Prior to joining EPFL, I was a Deep Learning Software Engineer at Intel, in the IoT and AI groups (2018-2022). I was awarded MSc (2021) and BSc (2020) in Control Engineering and Robotics from Gdańsk University of Technology, Poland. During my studies, I did internships at CERN (2020, 2019; Switzerland), USFQ (2019; Ecuador), and the Karunya Institute of Technology (2018; India). In 2017-2021, I led the Gradient AI Science Club, where I coordinated research projects, grants, and collaboration with the industry. In 2020, I was awarded the best student of the year at the Gdańsk University of Technology for outstanding scientific approach.