Prof. T.M. Heskes (Tom)

Professor - Data Science
Vice dean of research - Faculty Administration Department
Member - Gender and Diversity committee

Prof. T.M. Heskes (Tom)
Visiting address

Toernooiveld 212
Internal postal code: 47

Postal address

Postbus 9010

Working days Monday, Tuesday, Wednesday, Thursday, Friday

Prof. Tom Heskes conducts research on artificial intelligence, machine learning, and data science. He uses probability calculus and statistics to develop and better understand novel data science tools. He is specifically interested in causal discovery: how to disentangle cause and effect from "big data".

The developed techniques are employed in various projects, especially within healthcare and industry.

As former director and co-founder of spin-off companies, Tom Heskes has ample experience in working with practical applications of artificial intelligence and machine learning. He is further closely involved with the master specialisation in Data Science and initiator of Radboud AI.

Research theme Research group


Research grants and prizes

Ancillary activities

Tom Heskes researches artificial intelligence, machine learning and data science. He uses probability theory and statistics to develop and gain a better understanding of new data science methods. He is also interested in causality: How do you determine the cause and effect of big data?