BioIntelli 2026: World Congress on Artificial Intelligence, Bioinformatics & Computational Biology

Theme: AI-Driven Discoveries: Shaping the Future of Bioinformatics and Computational Biology

19-20, November 2026 Tokyo, Japan
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David A. Oluyori.
Featured Speaker

David A. Oluyori.

Invited Speaker

Nigeria

Biography

Dr. David Adeyemi Oluyori is a Lecturer in the Department of Applied Mathematics at the Federal University of Technology, Babura, Jigawa State, Nigeria. He earned his B.Tech. in Pure and Applied Mathematics from the Federal University of Technology, Minna, his M.Sc. in Mathematics from Ahmadu Bello University, Zaria, and his Ph.D. in Mathematics from Sule Lamido University, Kafin-Hausa. With over a decade of teaching and research experience, his research interests include semigroup theory, algebraic structures, graph theory, ring theory, and mathematical modeling of infectious diseases. Dr. Oluyori has published extensively in reputable international journals, serves on the editorial boards of several academic journals, and is an active member of the Nigerian Mathematical Society, the Mathematical Association of Nigeria, and the National Association of Mathematical Physics. He is a recipient of several academic awards, including the Best Graduating MSc Student Award from Ahmadu Bello University.      

Abstract Title

Algebraic Trioid Model for Biological Regulatory Networks   Trioid theory models biological regulation through three associative operations—activation, repression, and modulation—satisfying eight axioms that encode pathway independence, context dependence and combinatorial control. Two predictions emerge: the Ehresmann Schein-Nambooripad correspondence links trioids to groupoids of attractors and transitions, while representation theory classifies elementary circuits as irreducible modules satisfying idempotence and inverse properties. As part of an ongoing research, we hope to validate these predictions using a synthetic genetic toggle switch in Escherichia coli,  Time-course measurements to demonstrate the three attractor states with reversible transitions, confirming groupoid, using these results we hope to  establish trioid theory as an experimentally grounded framework for understanding biological regulation.