Roel Wuyts

Team Lead ExaScience Life Lab
Author

Roel Wuyts is principal scientist at imec and part-time professor at imec- DistriNet – KU Leuven. His main research interest is in the runtime management layer of future high-performance computing hardware. Before joining imec, he was Associate Professor at the ULB (Université Libre de Bruxelles). He obtained his PhD in computer science from the VUB (Vrije Universiteit Brussel). Roel Wuyts has served as member in various conference program committees such as ECOOP, OOPSLA, SC, Net.ObjectDays, or ESUG, organized workshops such as the DATE'08 Workshop on Software Engineering for Embedded Systems, and reviewed papers for TOPLAS or TOSEM.

Portrait of Roel Wuyts, a bearded man wearing glasses and a dark sweater against a blurred background.

Authored articles

Stethoscope on medical charts beside a laptop, suggesting digital healthcare data analysis.

New privacy-preserving AI can have a profound impact on the future of medicine

29/10/2021
Blog
Artificial intelligence

Data sharing is needed to advance medicine. But for practical, business, IP or legal reasons, sharing the data (such as with federated data approaches) or the models (such as with federated learning) is impossible or highly controversial. Fortunately, imec has developed a solution that protects patients’ privacy and businesses’ commercial interests

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Researchers in white lab coats working with a laptop in a bright laboratory, with test tubes in the foreground.

How data and life sciences could fall in love

15/10/2020
Blog
Health & life science

Data for life sciences: the inhibitors and how to overcome them.

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Hands of two people clasped together in support

New software makes the diagnosis of rare diseases less of an odyssey

03/03/2020
Diagnostics
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Gloved researcher holding a rack of test tubes in a laboratory with a faint molecular overlay

ExaScience Life Lab helps pharma companies dig for drug candidates in existing data

05/05/2017

High-performance computers process and mine the enormous amounts of data from molecule testing for drug discovery to get new insights.

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