Pieter Libin

Pieter Libin is a Professor at the Vrije Universiteit Brussel (VUB) in the Department of Informatics and Applied Informatics, part of the College of Engineering and Informatics. He leads the Federated Labs AI and Robotics and specializes in applying reinforcement learning to interdisciplinary challenges in public health, virology, and chemical engineering.

Research Interests: Libin’s work spans reinforcement learning, HIV/AIDS dynamics, epidemiological modeling, and AI-driven solutions for healthcare and chemical processes. His research often bridges computational methods with real-world applications, including pandemic response strategies, drug resistance prediction, and automated laboratory optimization.

Recent Trends in Articles: Recent work focuses on applying RL to optimize liquid chromatography methods, model infectious disease spread (e.g., SARS-CoV-2), and develop fair machine learning frameworks. He also explores genomic diversity in viruses like Zika and HIV to inform public health policies.

• Prizes:
  • ALA best paper award (2018)
  • FWO SB doctoral grant (2016)
  • ICTAI Best student paper award (2018)

Grants & Projects: Active projects include FWO-funded initiatives on fairness in RL, pandemic modeling, and chromatography automation. He collaborates internationally on topics like HIV epidemiology and vaccine allocation strategies.

Labs/Teams: Leads the Federated Labs AI and Robotics, focusing on AI applications in health and engineering. Involved in interdisciplinary teams combining computer science, virology, and public health.