AI
Neural Architectures Lab
Director: Prof. Dr. Elena Marchetti
Designing novel neural network architectures inspired by cognitive structures, with an emphasis on interpretability and compositional reasoning.
Research at IAMP
Science at the Intersection of Mind, Model, and Mathematics
With 23 active research labs and over 500 publications, IAMP is a global leader in interdisciplinary research spanning AI, mathematics, and psychological sciences.
Research Areas
Where We Focus
Six core research areas that span our three pillars and drive our most ambitious projects.
Machine Learning & Deep Learning
Architectures, training methods, and theory behind modern learning systems.
8 active projectsAI Safety & Alignment
Ensuring AI systems are robust, interpretable, and aligned with human values.
6 active projectsComputational Neuroscience
Mathematical models of neural circuits and brain-inspired computing.
5 active projectsCognitive Modeling
Formal models of human cognition — memory, decision-making, language.
7 active projectsMathematical Foundations of AI
Topology, geometry, and algebra applied to learning theory and generalization.
4 active projectsPsychometrics & Assessment
Modern measurement theory for cognitive abilities and AI evaluation.
3 active projects Research Laboratories
Our 23 Research Labs
Each lab brings together faculty, postdocs, and students across disciplines to pursue ambitious multi-year research agendas.
MATH
Topological Data Analysis Group
Director: Prof. Dr. Rajesh Khanna
Applying algebraic topology and persistent homology to high-dimensional data, with applications in machine learning and network analysis.
PSYCH
Cognition & Computation Lab
Director: Prof. Dr. Sarah Chen
Computational models of human learning, memory, and decision-making, validated through behavioral and neuroimaging experiments.
AI
AI Ethics & Policy Center
Director: Dr. Michael Okonkwo
Interdisciplinary research on the societal impacts of AI, including fairness, accountability, transparency, and the governance of autonomous systems.
MATH
Mathematical Physics & Information Theory
Director: Prof. Dr. Hans Müller
Information-theoretic foundations of learning and computation, connecting statistical mechanics, quantum information, and machine learning theory.
PSYCH
Behavioral Neuroscience Lab
Director: Prof. Dr. Amara Okafor
Neuroimaging and electrophysiology studies of cognitive control, attention, and learning, with computational modeling of neural dynamics.
Recent Publications
Selected Recent Work
A sample of papers published by IAMP researchers in leading journals and conferences.
Interpretable Transformer Architectures via Cognitive Schema Binding
Persistent Homology Bounds for Generalization in Deep Networks
A Unified Framework for AI-Assisted Cognitive Behavioral Therapy
Topological Signatures of Compositional Generalization in Neural Networks
Bayesian Models of Human Planning Under Uncertainty
Information-Theoretic Limits of Federated Learning on Non-IID Data
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