Emil is a Business Analytics graduate from the Vrije Universiteit in Amsterdam, with a strong focus on natural language processing and deep learning techniques. He completed hismaster’s thesis by developing a deep learning architecture that predicted stock price movements based on newspaper articles. This project sparked his passion for working with advanced technologies to solve complex real-world problems. Currently, Emil is pursuing a Ph.D. in medical informatics collaborating with the UMCU’s psychiatry department. His research focuses on topic modeling and interpretable text classification.
Furthermore, Emil is a member of the:
JADS also participates in several (international) projects, which contribute to grand societal challenges like health, food security, smart transport and secure societies. Together with companies, government, NGO’s and other knowledge institutions, JADS works on solutions by using data.