I am blessed to work with, supervise and learn from the following individuals.
PhD Students
High-performance Structural Equation Learning for Finance
Co-supervised with: Ilker Birbil
Focus: structural equation learning, finance, explainable machine learning
Causal Reinforcement Learning and Discovery
Co-supervised with: Frank van Harmelen (VU), Aske Plaat (Uni. Leiden)
Focus: causality, reinforcement learning, neuro-symbolic AI
Interpretable Time Series Transformers
Co-supervised with: Jelle Zuidema
Focus: concept bottlenecks, transformer interpretability, multimodal consistency
Arco van Breda
Mechanistic Control for Tabular Transformers
Co-supervised with: Saba Amiri, Ana Oprescu
Focus: mechanistic interpretability, transformers, neurosymbolic control
Categorizing neurosymbolic hybrid intelligence systems
Co-supervised with: Frank van Harmelen (VU), Annette ten Teije (VU)
Focus: neurosymbolic systems, category theory
Multi-Agent Learning for Fair and Transparent School Choice
Co-supervised with: Sennay Ghebreab
Focus: civic AI, matching mechanisms, strategic behavior, responsible AI
Multi-Agent Reinforcement Learning for Equitable and Sustainable Tax Policy Design
Co-supervised with: Albert Bomer (VU)
Focus: multi-agent systems, reinforcement learning, taxation, climate policy
Raj Bhalwankar
Reasoning in Tabular Foundation Models
Co-supervised with: Pasquale Minervini (University of Edinburgh)
Focus: tabular foundation models, reasoning, representation learning
Neurosymbolic AI for Safety and Norms in Multi-Agent Reinforcement Learning
Co-supervised with: Shihan Wang, Giovanni Sileno
Focus: logic, AI safety, game theory, multi-agent reinforcement learning
Alumni
Cooperation Under Uncertain Incentive Alignment: A Multi-Agent Reinforcement Learning Perspective
Co-supervised with: Davide Grossi (RUG), Roxana Radulescu (UU)
Focus: multi-agent reinforcement learning, cooperation, uncertain incentive alignment
Renyan Feng (Guizhou University)
Knowledge Forgetting in Computation Tree Logic
Co-supervised with: Yisong Wang (Guizhou University, China)
Focus: computation tree logic, knowledge forgetting, logic-based reasoning