Dominika is a Machine Learning engineer and researcher with focus on interpretability of neural networks. She loves to dive deeper into the inner workings of neural networks, both in NLP and Computer Vision, focusing recently on self-supervised methods. She was a visiting researcher at University of California at Davis and Nanyang Technical University. Her research was funded by European Union as well as Polish government. Dominika is the author of several research papers presented at top-tier AI conferences in Montreal, Sydney, Belgium.

Dominika has Masters in Management from University College Dublin and Master in Quantitative Methods from Warsaw School of Economics. Thanks to this mix, apart from being tech-savvy she has experience in business validation.
Currently she is an AI Tech Lead at Tooploox, where she is collaborating with VC-backed startups. Apart from working on technical aspects of the projects, coding and experimenting, she also helps clients to find opportunities in data and to quickly validate the feasibility of the client’s idea.