Jessa Bekker is a research manager and machine learning specialist with a decade of experience bridging academic rigor and applied AI to tackle societal challenges like healthcare and accessibility. Based in Leuven, she moved from a PhD and postdoc at KU Leuven—where she published on positive-and-unlabeled learning and tractable probabilistic models—to applied ML work at Acapela, helping build expressive digital voices for people with speech impairments. Her expertise spans decision-tree methods, structure learning for tractable models, and practical ML research management, with open-source contributions and project pages supporting reproducible tools. Colleagues describe her as someone who pairs deep theoretical insight with pragmatic engineering, and she has a knack for turning challenging statistical problems into deployable solutions.
10 years of coding experience
3 years of employment as a software developer
General Secondary Education, Mathematics and Science, General Secondary Education, Mathematics and Science at Sint Albertuscollege
Artificial Intelligence, Artificial Intelligence at Stanford Online Class
Master of Computer Science (Exchange), Magna Cum Laude, Master of Computer Science (Exchange), Magna Cum Laude at Ecole polytechnique fédérale de Lausanne
Bachelor of Engineering (BEng), Electrical, Electronics and Communications Engineering, Cum Laude, Bachelor of Engineering (BEng), Electrical, Electronics and Communications Engineering, Cum Laude at Katholieke Universiteit Leuven
Spanish (A1), Spanish (A1) at Centrum Levende Talen (CLT), Leuven
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