The Laboratory for Artificial Intelligence in Mathematics Education aims to enhance large language models' mathematical reasoning and their applications in education – bridging the gap between human expertise and AI’s potential.
Our Mission
Improving math education is one of the principal problems in modern education, and given the central role of mathematics in all STEM fields, it represents a major challenge for modern society as a whole. It has been understood for some time that solving this problem requires technology, which may include AI.
There is currently a great deal of hype surrounding the capabilities of AI systems, notably large language models, but there is also reason to believe that AI systems will form the basis of transformative educational technology.
The Laboratory for Artificial Intelligence in Mathematics Education, which represents a collaboration between academia and industry, aims to conduct research that will help us understand, develop, and implement such technology.
Stevens Faculty Leading AI and Mathematics Dialogues in 2026
Recent work from the lab was featured in The Mixer: Storming Group Theory With Group Intelligence, a Nebius Science story exploring how the lab's "algorithm mixing" framework achieved a major speedup on one of algebra's longest-standing challenges: the Burnside problem.
Earlier this year, lab researchers also led sessions at two major conferences. At JMM 2026 in Washington, D.C., Eric Ramos, Alexei Miasnikov, and Jan Cannizzo led special sessions on AI in combinatorics and group theory. At ISAIM 2026 in Fort Lauderdale, Alexei Miasnikov co-organized a session on AI in group theory.
