In 2014, Przemek graduated from the University of Oxford with a First Class Math degree in pure mathematics. Subsequently he joined University of Edinburgh as a PhD student in abstract algebra, where he also taught a number of undergraduate classes.
Hearing of recent breakthroughs in Deep Learning and AI, his interests shifted and he discontinued his PhD studies in order to transition to Data Science. Before joining Sigmoidal, he briefly worked in banking and education. Przemek’s passion is applications of Deep Learning for Computer Vision.