Leander Schietgat

Leander Schietgat is a postdoctoral researcher at Vrije Universiteit Brussel (VUB) working within the Informatics and Applied Informatics department. He is affiliated with the Federated Labs AI and Robotics research group and holds an ORCID identifier (0000-0002-2097-0974). His research spans multiple interdisciplinary domains where artificial intelligence intersects with practical applications.

Dr. Schietgat's research interests focus on applying machine learning techniques to diverse domains. His work in reinforcement learning addresses real-world manufacturing challenges through job shop scheduling algorithms. In bioinformatics, he investigates metagenomics and haplotype analysis for microbial communities. His research also extends to computational toxicology, developing methods for toxicophore detection and mutagenicity prediction. This interdisciplinary approach demonstrates his ability to adapt AI methodologies across different scientific domains.

His publication record shows consistent output with four research articles between 2021-2023, demonstrating expertise in both theoretical machine learning frameworks and practical implementations. The research trends indicate a strong focus on applying explainable AI to trustworthy control systems, with particular emphasis on reinforcement learning applications in manufacturing and biological systems.

Dr. Schietgat is actively involved in multiple research projects including:

• CTRLxAI=T(H)RUST (2022-2026): CTRL schemes merged with eXplainable AI for t(h)rustworthy control of physical dynamic systems
• IOF GEAR: Artificial Intelligence Lab (2022-2026)
• TAILOR: Foundations of Trustworthy AI (2020-2024)
• ESF project: A people-oriented AI training through serious game experiences (2019-2021)
• RAINboW: Responsible AI for a smart connected world (2019-2022)

He is scheduled to participate in the event 'Europe's Vision on Responsible AI: Research, Practice, Policy' as an organizer in April 2025, indicating his active engagement with the broader AI policy community.