Artificial Intelligence
Deep learning, symbolic reasoning, reinforcement learning, and human-AI interaction at the frontier of machine cognition.
Excellence in Interdisciplinary Research Where Intelligence Meets
Where Intelligence Meets
Understanding
IAMP — the International Institute for AI, Mathematics and Psychological Sciences — is a world-leading research institution dedicated to the convergence of artificial intelligence, formal mathematical reasoning, and the science of the human mind.
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Our Three Pillars
An Integrated Approach to Knowledge
IAMP unites three foundational disciplines under one roof, creating a unique environment where breakthroughs emerge at their intersections.
Mathematics
From pure mathematics to applied statistics, topology, and computational mathematics underpinning modern science.
Psychological Sciences
Cognitive psychology, behavioral neuroscience, and psychometrics — understanding the human mind alongside machine intelligence.
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Our People
Fellows & Researchers
World-class scholars driving interdisciplinary breakthroughs across AI, mathematics, and psychological sciences.
Fellow Prof. Dr. Elena Marchetti
President & FellowInterpretable AI, cognitive architectures, compositional reasoning
Fellow Prof. Dr. Rajesh Khanna
FellowAlgebraic topology, persistent homology, geometric deep learning
Fellow Prof. Dr. Sarah Chen
FellowCognitive modeling, Bayesian reasoning, computational psychiatry
Researcher Dr. James Park
ResearcherReinforcement learning, multi-agent systems, game theory
Researcher Dr. Yuki Tanaka
ResearcherNumber theory, arithmetic geometry, cryptographic mathematics
Researcher Dr. Lisa Andersson
ResearcherPsychometrics, educational assessment, computational psychology
Our Mission
Bridging Computation, Formal Reasoning, and the Human Mind
We believe the most transformative discoveries of the 21st century will emerge not from any single discipline, but from their convergence. IAMP fosters a collaborative research culture where mathematicians, AI engineers, and psychologists work side by side — building intelligence systems that are not only powerful, but understandable, ethical, and aligned with human cognition.
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Applications for the 2027–2028 cycle are now open for Fellows, Researchers, and Postdoctoral Scholars.