Patrick Wessa

Research Interests

My current research activities focus on leading the Vitamin AI research project which uses digital biomarkers for the early detection of Alzheimer's Disease (AD) and monitoring the disease's progress. In particular, we attempt to predict Mild Cognitive Impairment (MCI) and AD based on eye-tracking, facial micro-expressions, speech recordings, and a variety of neurocognitive tests. The data analysis relies on advanced statistical modelling (Artificial Intelligence / Machine Learning) and combines a large collection of digital biomarkers.

I am also involved in helping enterprises from various industries to build innovative solutions (with AI/ML), and in teaching several statistics and information science courses at the University of Leuven. One of my (long-term) pet projects focuses on innovative, statistical Web Technologies and Applications for the purpose of reproducible, scientific research and collaborative, academic education. In particular, my work focuses primarily on Compendium Technologies, Reproducible Statistical Computing, and associated Meta Databases.


Here are a few projects I am currently working on:

In summary, I am interested in multidisciplinary, scientific questions from (almost) any field that can be studied through solid, statistical research and innovative information technology.


Here you find a list of some of my websites:

Work in progress

Here you find a list of some papers that are under development:

Recent Publications

This is an out-of-date selection of some papers:

Contact Information

You can contact me through e-mail: patrick at wessa dot net

Short Bio

If you are looking for a short bio, here's a text that might be useful in publications:

Patrick Wessa is an information science & statistics professor (PhD, Institute for Statistics and Econometrics, University of Basel, CH) with a strong interest in information technologies. His research is located at the Leuven Institute for Research on Information Systems (LIRIS, University of Leuven, Belgium) and is mainly focused on multidisciplinary, scientific questions that can be studied through reproducible statistics and information technology. His innovations have been made freely accessible through a series of web applications that have become increasingly popular among academics and have been cited in a large number of scholarly articles. In recent years, he disseminated his findings through a variety of publication outlets in the domains of software engineering, computational statistics, computer-supported education, and multidisciplinary science.