liesbet.peeters[at]uhasselt.be
Associate Professor (Postdoc advisor) Biomedical Data Sciences

marc.vanhulle[at]kuleuven.be
Full Professor (PhD advisor) Laboratory for Neuro- and Psychophysiology

yves.moreau[at]kuleuven.be
Full Professor (Collaborator)

University of Twente / Medisch Spectrum Twente
January 2026 - Current Developing advanced deep learning and foundation models integrating longitudinal MRI data, multi-omics profiles, and clinical variables for early detection and risk prediction of hepatocellular carcinoma (HCC). Building explainable AI (XAI) frameworks that link imaging features and molecular markers to clinically meaningful outcomes in precision oncology within the AI-HCC ZonMw project.

UHasselt
January 2024 - January 2026 Scientific Coordinator of the Flanders AI Research Program Use Case Real World Evidence, leading multi-institutional research on privacy-preserving healthcare analytics. As Technical Machine Learning Lead of the Biomedical Data Sciences Group, developed federated learning frameworks enabling collaborative clinical research across Belgian healthcare institutions without sharing sensitive patient data. Research encompasses federated tensor regression for longitudinal health data, distributed learning architectures for heterogeneous clinical datasets, and translation of federated AI methods into practical healthcare applications.

KU Leuven
May 2023 - January 2024 Developed advanced machine learning methods for decoding sign language alphabet gestures from high-density intracranial brain activity (ECoG). Combined deep learning architectures with tensor regression models to capture complex spatiotemporal patterns in neural signals associated with linguistic motor control. Technical contributions included implementing block-term tensor decomposition for multi-dimensional neural data and exploring cross-subject generalization for robust BCI performance. The research advances both fundamental understanding of neural encoding of sign language and practical assistive communication technology. Conducted at the Laboratory for Neuro- and Psychophysiology under supervision of Prof. Marc van Hulle, extending previous doctoral research in motor decoding to linguistic applications.

Flanders BCI
2022 - 2024 Provided consulancy for physical experiments using Synamps RT and Neuvo EEG Systems. Supported the data analysis for hybrid BCI with new analytical EEG modeling techniques & signal detection- and classification algorithms. Infer emotion from EEG signals using machine learning techniques. Usage of ECoG signals from semi-invasive recording for imagined movement detection and language processing.

Lumezzane, Italy
Dec. 2022 - Jan. 2023 Develop custom software for the control of the Gloreha robotic rehabilitation device, Specifically the R-TOUCH PRO Sinfonia, a custom-built robotic exoskeleton for hand rehabilitation.

KU Leuven
Sep. 2018 - May 2023 Cognitive and Molecular Neuroscience PhD Thesis: Finger Movement Decoding: From Source-Localisation to Tensor Regression Modelling

UHasselt
Jul. 2016 - Sep. 2016 I worked on the iMinds PRO-FLOW project @ Expertise centre for Digital Media (EDM) focus on the difference between the http versions (http1.1, https, http2).

UHasselt
Aug. 2015 - Sep. 2015 Interfacing between human entity, a drone and virtual objects @ Expertise centre for Digital Media (EDM). (C++, Optitrack motion capture, custom built drone)

UHasselt
Sept. 2025 - Sept. 2026

UHasselt
2025

UHasselt
Sept. 2025 - Dec. 2025

UHasselt
June 2024 - Sept. 2025

UHasselt
Sept. 2024 - Sept. 2025

Frontiers in Immunology
2024 - 2025

VLAIO
2025

ICFP
2024

KU Leuven
2022-2025

Federated Machine Learning for Health Data
Master of Science in Computer Science (2025-2026)

Optimization and Type Checking in Single-Pass Compilers - a Case Study with the Wren Programming Language
Master of Science in Computer Science (2025-2026)

Redesign of Wren Bytecode - Towards More Efficient Execution and Memory Usage
Master of Science in Computer Science (2025-2026)

Individual Reference Intervals for Clinical Event Prediction
Doctoral Program in Sciences, Statistics (co-supervisor, 2024 - 2025)

Estimating Household Wealth in Guyana - Remote Sensing and Convolutional Neural Network Approach
Master Statistics & Data Science (2024-2025)

AI for time series imputation
Master Statistics & Data Science (2024-2025)

Predicting Cirrhosis Patient Survival Using Machine Learning - A Data-Driven Approach
Master Statistics & Data Science (2024-2025)

Clustering with Cardiovascular Health Data
Master of Science in Computer Science (2024-2025)

BTTR for arrhythmia detection/prediction on sinus rhythms
Master of Science in Computer Science (2024-2025)

Cross Subject training for finger movement decoding with high-density ECoG
Master of Science in Computer Science (2024-2025)

Hand exoskeleton dexterity achieved by shared control with a semi-invasive brain-computer interface
Doctoral Program in Biomedical Sciences (daily supervision 2022-2023)

Restoring finger dexterity with an exoskeleton controlled by human intracranial recordings
Doctoral Program in Biomedical Sciences (daily supervision 2022-2023)

Investigating the effect of Source Mixing on Directed Connectivity estimated between Simulated Reconstructed EEG Sources
Internship Student 2021

Estimating the effectiveness of source localized EEG for BCIs
Internship Student 2021

Cluster Permutation Analysis of N-Back related EEG-ERP Data
Internship Student 2021

Using Neural Networks to derive Directed Connectivity between Reconstructed EEG Sources
Master of Science in Artificial Intelligence (2020-2021)

Neural Network Approach to the Inverse Problem
Master of Science in Artificial Intelligence (2020-2021)

Symposium on Federated Learning and Intelligent Computing Systems (FLICS)
2025

IEEE FLTA (International Conference on Federated Learning Technologies and Applications)
2025

OHDSI Europe Symposium
2025

KULeuven
2025

Flanders Artificial Intelligence Research Program (FAIR) Research Day
2024

Flanders Artificial Intelligence Research Program (FAIR)
2024

Mindseed event Leuven, NeuroTech Leuven
2023 [Link]

KULeuven
2023

International Congress Humanities vs Sciences & the Knowledge Accelerating in Modern World: Parallels an Interaction,
2022 [Link]

AI Flanders, Flanders Industry 4.0
2022 [Link]

KULeuven
2022

Leuven AI Scientific Workshop
2022

XIV World Scientific Congress - SCIENCE FOR PEACE Modern Science, Global and Regional Theory and Practice
2021

KULeuven
2021

III International Conference "Volga Neuroscience Meeting 2021"
2021 Leading scientists from all over the world will meet together to discuss topical problems in the field of neuroscience and artificial intelligence. The conference is organized by Lobachevsky State University of Nizhny Novgorod (UNN). [Link]

Technopolis (canceled due to the COVID-19 situation)
2021

Cathedral of St. Michael and St. Gudula, Brussels
2019

KU Leuven, Department of Computer Science
2017 [Link]

KU Leuven, Department of Computer Science, DTAI
2017 [Link]

ACM SIGCHI
2016 [Link]

Flemish Sign Language Centre
Sep. 2022 - May 2024 Graduates are able to engage in day-to-day conversations with deaf and hard-of-hearing individuals.

KU Leuven
Sep. 2018 - May 2023 Cognitive and Molecular Neuroscience PhD Thesis: Finger Movement Decoding: From Source-Localisation to Tensor Regression Modelling

KU Leuven
Sep. 2017 - Jul. 2019 Engineering and Computer Science (76% - Cum Laude) Thesis: An Information Theoretical Approach to EEG Source-Reconstructed Connectivity (on Github)

KU Leuven
Sep. 2016 - Oct. 2018 Research Assistant: design of type-&-effect system for Eff based on row polymorphism Research Assistent: efficient compilation of algebraic effect handlers (in Eff) [Link]

KU Leuven
Sep. 2016 - Sep. 2018 Artificial Intelligence & Theoretical Computer Science (76% - Cum Laude) Thesis: Algebraic Subtyping for Algebraic Effects and Handlers (on Github)

The University of Manchester
Jul. 2015 - Aug. 2015 International Business

UHasselt
Sep. 2013 - Jul. 2016 Physics and General courses (79% - Magna Cum Laude) Thesis: Machine learning techniques for flow-based network intrusion detection systems (on Github)

2025 - Current FWO Senior Research Project (2025) Project: "Federated Learning for Population Health Management" Role: Co-supervisor Team: Prof. Yves Moreau (KU Leuven), Prof. Liesbet M. Peeters (UHasselt), Prof. Bert Vaes (KU Leuven) Funding: Research Foundation Flanders (FWO), Belgium (applied, result expected in September 2025) Amount: approx. €1,150,000 (including salaries and operational costs for 4 years)

2024 - Current Role: Scientific coordinator (UHasselt) and AI Researcher Team: approx. 10 researchers across 4 institutions

2023 - 2025 Role: Consortium partner (UHasselt), focusing on health data re-use and federated analyses Collaborations: KU Leuven (Yves Moreau), University of Antwerp (Geert Vandeweyer), VIB (Frederik Coppens) Context: ELIXIR Belgium is part of ELIXIR Europe, an ESFRI initiative funded by the European Commission and national agencies

2025 - Current FLkit is designed to help life scientists apply federated learning in their research. It offers guidance, techniques, and tools for working with decentralized and sensitive data, enabling privacy-preserving collaboration and deeper insights without sharing raw data. The project is in its early stages and open to contributors. The long-term goal is to make FLkit community-driven, sustained, and governed by researchers and practitioners who want to advance federated learning for life sciences. [Link]

Jan. 2015 - Current Cardinal is a C++20 reimplementation of the Wren VM, designed for clarity, research, and education. It provides a small, well-documented virtual machine and runtime for exploring compilers, concurrency (fibers), and language embedding. The project serves as a platform for student theses and for prototyping new programming language ideas. [Link]

2022 - Current The open-source BTTR implementation provides researchers and practitioners with accessible, reproducible tools for tensor-based regression in neuroscience and related domains. It is actively developed and documented to support experimentation, education, and further research. [Link]

2025 - Current This repository serves as a step-by-step tutorial for running federated learning studies with the FL4E framework. Using the Wisconsin Breast Cancer dataset as an example, it guides researchers and students through the full workflow. Clear documentation and markdown guides explain each step, making it easier for newcomers to understand and apply federated learning in practice. [Link]

Aug. 2016 - Current An nodejs application to create an iCalender file for courses at KU Leuven. (>1000 active users) [Link]

Sep. 2015 - Dec. 2015 Developed a room-scale AR game using everyday objects as controllers (broom, fan, vacuum, mousetrap). Demonstrated immersive physical-virtual interactions. Still used in university courses as a teaching example. [Link]

European Food Safety Authority Europe Statistical & Epidemiological Analysis - Ranked 4th among international contractors in competitive evaluation - Contributed to case studies demonstrating expertise in Bayesian spatial modeling, AI/ML applications for data classification, and advanced statistical training design - Quality score: 130.5/170 across methodology, implementation, and risk management criteria

FWO Belgium FWO fundamental research grant for the project "Finger movement decoding: From source-localisation to graph-based regression modelling"

Cyber Security Challenge 2018 Brussels, Belgium A Capture The Flag (CTF) challenge-based game covering a wide range of security issues.

ICFP 2017 Student Research Competition Oxford, UK

in Computer Science UHasselt, Belgium Award presented by the examination committee of Computer Science at Hasselt University for meritorious achievements, and contribution to a positive image of the bachelor in Computer Science.

ACM CHI 2016 Student Design Competition San Jose, CA, USA

BeGDC (Belgian Game Development Championship) Brussels, Belgium

Academic Module (8.0/9.0) Brussels, Belgium

Freelance
Sept. 2015 - 2024 Supporting high school and university students in mastering mathematics (and other natural sciences) through personalized tutoring

DjangoGirls
Mar. 2018 - 2024 Inspire women to fall in love with programming (Python, Django workshops)

CoderDojo (UHasselt, PXL)
Sep. 2014 - 2025 Teach children programming (Scratch, Python, Minecraft and Lego mindstorm).

KU Leuven
Sep. 2017 - Sep. 2018 POC (Education Committee) of Master Computer Science Engineering, POC (Education Committee) of Advanced Master Artificial Intelligence, Member of Departmental council of Computer Science, Department board of Computer Science and Faculty council of Engineering Science

StuRa UHasselt
Mar. 2015 - Aug. 2016 Member of Board of Education, Faculty Council. Board of Student Facilities, Diversity Commission, Temporary representative in VVS (Flemish Union of Students)

UHasselt
Sep. 2013 - Jul. 2016 Representing students interests in a Computer Science education context. Representing Computer Science education for high school students