I am an assistant professor at the University of Amsterdam, a visiting researcher at The Alan Turing Institute (UK) and at the Centre for Science and Technology Studies (CWTS), Leiden University (NL).
My work focuses on using data to study cultural and social phenomena, including the human past, art markets, science communication and Wikipedia. I support the open and free access to knowledge, for people and machines alike.
Last update: November 2020.
I did my PhD at EPFL in Lausanne, working on methods for text mining and citation analysis of scholarly publications. During my PhD, I co-founded Odoma, a start-up offering customised machine learning solutions for the cultural heritage sector.
Prior to joining the University of Amsterdam, I have been part of the Research Engineering Group at The Alan Turing Institute, also as a co-investigator on the Living with Machines project. I have been a researcher at Leiden University, the Leibniz Institute of European History in Mainz, the University of Oxford. My background is in computer science (BSc) and history (BA, MA).
I am affiliated with the department of Media Studies at the University of Amsterdam, a member of Creative Amsterdam (CREATE) and the Institute for Logic, Language and Computation (ILLC). As a visiting researcher, I convene the AI for Arts interest group at the Turing, and I am part of the Quantitative Science Studies group at CWTS.
For a full list of publications, see my Google Scholar profile.
With my company Odoma, we provide solutions to leverage artificial intelligence (AI) in the cultural heritage sector. We work with both public and private clients and have multiple years of experience. We are particularly good at designing and developing tailor-made solutions. Our clients include the Swiss watchmaker Longines and the Olympic Committee.
I also do independent consulting on matters related to AI for cultural heritage, digital humanities, digitization, scholarly information retreival, AI for science. If interested, get in touch at email@example.com.