Staff

Peter Bloem

assistant professor
  • machine learning
  • information theory
  • minimum description length

Michael Cochez

assistant professor
  • approximate reasoning
  • formalisation of medical knowledge
  • diagnosis

Frank van Harmelen

professor
  • knowledge representation
  • neuro-symbolic AI
  • semantic web

Zhisheng Huang

Filip Ilievski

assistant professor
  • commonsense reasoning
  • generalization
  • AI for social good

Annette ten Teije

professor
  • approximate reasoning
  • formalisation of medical knowledge
  • diagnosis

Postdocs

Floris den Hengst

researcher
  • reinforcement learning
  • goal specification
  • alignment

Majid Mohammedi

Syed Ihtesham Shah

postdoc
  • Inverse Reinforcement Learning
  • Reinforcement Learning
  • Explainable and Trustworthy ML Models

Xander Wilcke

researcher
  • knowledge graphs
  • representation learning
  • multi-modal machine learning
  • knowledge discovery

PhD students

Dimitrios Alivanistos

PhD Student
  • Graph Machine Learning
  • Knowledge Graphs
  • Scientific Discovery

Ruud van Bakel

PhD student
  • Massive Graphs
  • Scalability
  • Graph Embeddings
  • Machine Learning
  • Neuro-symbolic AI

Inès Blin

PhD Student
  • narratives
  • knowledge graphs

Yannick Brunink

PhD student
  • Probabilistic Databases
  • Complex Logical Query Answering
  • Knowledge Graph Embeddings
  • Neuro-symbolic AI

Daniel Daza

PhD student
  • machine learning
  • knowledge graphs
  • information extraction

Chaohui Guo

PhD student
  • Chatbots

Fabian Hoppe

PhD student
  • neuro-symbolic AI
  • language modelling
  • knowledge graphs

Taewoon Kim

  • reinforcement learning
  • knowledge graphs
  • memory

Nikos Kondylidis

  • Multi-Agent Communication
  • Establishing Shared Understanding
  • Human-Hybrid Artificial Intelligence

Ting Liu

  • knowledge graphs
  • Computational biology

Andreas Sauter

PhD student
  • causality
  • reinforcement Learning

Romy Vos

  • neurosymbolic AI
  • drug safety
  • machine learning on knowledge graphs

Taraneh Younesian

PhD student
  • machine learning on graphs
  • explainability
  • scalability

Guests

Selene Baez Santamaria

PhD student
  • language modelling
  • conversational AI
  • hybrid intelligence

Chengcheng Fu

Ali Khalili

Emile van Krieken

PhD student
  • neurosymbolic AI
  • optimization
  • probabilistic modeling

Andrea Rafanelli

PhD student
  • neuro-symbolic AI
  • machine learning
  • agent-based systems

Mani Tajaddini

Thiviyan Thanapalasingam

Alumni