Qi Chen, PI (external link)
Learning theory, Meta learning, Continual learning, Algorithmic fairness, Generative models
Principal Investigators (PIs) lead the Institute’s research groups. Michael Cochez, Francesco Croce, Andrew Cropper, Shaoxiong Ji, and Mikko Karttunen are also PS Fellows funded by Foundation PS.
Group members are listed under their faculty member’s page.
Learning theory, Meta learning, Continual learning, Algorithmic fairness, Generative models
Knowledge graphs, Machine learning, Graph representation learning
Evolutionary epidemiology, Machine learning, Inference
Machine learning
Inductive logic programming, Symbolic learning, Relational learning, Symbolic AI
Scene graphs, Deep generative models, Semantic scene understanding, Surgical data science
Machine learning, Computational neuroscience
Machine learning, Natural language processing, Health informatics
Artificial intelligence, Computational pathology, Image analysis, Machine learning
Biological physics, Physical chemistry, Statistical mechanics, Molecular simulation, Soft matter
Probabilistic ML, AI4Science, Collaborative AI
Computer graphics, Computer vision, Machine learning
Artificial intelligence, Machine learning, Probabilistic graphical models
Human-computer interaction, Computational modeling of behavior
Reinforcement learning, Multi-objective optimization, Robotics, Machine learning, Exploration
Machine learning, Gaussian processes, Sensor fusion, Generative modelling
Multi-sensor data fusion, Bayesian filtering and smoothing, Sensor fusion, Medical technology, AI
Bayesian analysis, Bayesian statistics, Gaussian processes, Probabilistic programming
AI for health, 3D vision, Medical image analysis, Machine learning, Spatial intelligence
Affective computing, Artificial intelligence, Computer vision, Pattern recognition
Machine learning, Bayesian optimization, Computational neuroscience, Probabilistic inference
Deep learning, Computer vision, Human gesture, 3D Generation, Emotion AI
Networks, Computational legal theory, Legal data science, Responsible AI, Data-centric AI
Health, Data science
Machine learning
Computer vision, Machine vision, Pattern recognition
Machine learning, Differential privacy, Bayesian inference, Bioinformatics
Computational intelligence, Machine learning, Machine perception, Financial data analytics
Data science, Machine learning, Financial data analytics, Time series analysis, Networks
Numerical analysis, Approximation theory, Probabilistic numerics, Kernel methods, Gaussian processes
Machine learning, Bayesian statistics, Artificial Intelligence
Robotics, Machine learning, Computer vision
Large language models, Computational social science
Statistical machine learning, Computational biology
Machine listening
Machine learning, Pattern recognition, Computational intelligence, Data analysis
Data mining, Machine learning, Artificial intelligence, Atmospheric sciences
Computer vision, Image understanding, Machine learning
Machine learning, Computer vision, Environmental monitoring
Machine learning
Navigation, Computer vision
Computational linguistics, Machine translation, Machine learning, Natural language processing, Information retrieval
First principles materials simulations and artificial intelligence
Data science, Concept drift, Macro evolution, Macroecology
Institute management team 2025–2026
Institute director
Attracting global talents
Company collaboration
Administration
Startups
Natl. & internatl. collaboration
Multidisciplinary collaboration
Team's external advisor
Contact the administration team: contact at ellisinstitute dot fi
Senior Communications Specialist
Corporate Relations Manager
Chief of administration
Coordinator
Coordinator
Meet the wider ELLIS community in Finland