Machine learning unit
The Machine Learning Unit is a core technology dedicated to empowering researchers across the VIB.AI labs with advanced machine learning (ML) capabilities. Our mission is to accelerate scientific discovery in life sciences by providing deep expertise in AI methods, from scalable model development to cutting-edge foundation models and generative AI.
What We Do
The Machine Learning Unit acts as a center of expertise and collaboration, supporting VIB.AI core and affiliated research groups in:
- Representation learning and foundation models
- Explainable AI (XAI) for biological interpretation
- Simulation-based inference and generative models
- Model benchmarking, evaluation, and reproducibility
- Deployment of scalable ML workflows and pipelines
- Design, implementation, and evaluation of LLM-based solutions
We actively scout, implement, and adapt state-of-the-art ML methods and make them accessible to the VIB.AI research community. Whether it’s integrating LLMs into biomedical pipelines or developing custom models for regulatory genomics, we’re here to help research groups go further, faster.
We also offer training, workshops, and consulting, fostering continuous learning and cross-group skill development.
Jieyi Xiong is AI Engineer at the ML expertise unit.
Powered by collaboration
The Machine Learning Unit works in close connection with the VIB Data Core and AI Studio to support researchers in
- Scaling Machine Learning development and deployment.
- Translating pilot projects into practical tools.
- Translating research into industrial applications, enabling technology transfer, spin-offs, licensing, and patenting opportunities.
We are committed to open science, interdisciplinary teamwork, and the ethical use of AI in life sciences.