معرفی
Dr. Bob Planqué is an Associate Professor in Mathematical Biology at the Department of Mathematics, Vrije Universiteit Amsterdam. He serves as the current programme director of the Master Mathematics and is a member of the Amsterdam Center for Dynamics and Computation. His research focuses on systems biology, microbial physiology, and ecological interactions, with applications to epidemiology and ornithology. He collaborates extensively with the Systems Biology Lab on metabolic network optimization and microbial growth dynamics. Planqué co-founded Xeno-canto, the world's largest open-access database of wildlife sounds, recognized with the Dutch Data Prize 2024 for FAIR data sharing. His work bridges mathematical modeling with experimental biology, addressing questions in metabolic efficiency, collective decision-making in ants, and signal evolution in birds.
Education & Roles: PhD in Applied Mathematics (CWI/VU Amsterdam), roles include programme director and supervisor of over 20 MSc/BSc students in mathematical biology. Active in interdisciplinary projects combining ecology, microbiology, and machine learning.
Research Interests: Mathematical modeling of microbial metabolism, bifurcation analysis in metabolic pathways, stochastic processes in signal transduction, and the evolution of animal communication. Key projects include metabolic flux optimization, microbial growth rate adaptation, and avian acoustic ecology.
Publications: Over 50 peer-reviewed articles in journals like Nature Metabolism, Biophysical Journal, and Proceedings of the National Academy of Sciences. His work on metabolic explosion in yeast and bird song dialects has been widely cited.
Awards: Dutch Data Prize 2024 (Life Science and Health) for Xeno-canto's FAIR data practices, contributing to 4,000+ scientific publications and machine learning initiatives like BirdNET.
Grants & Collaborations: Collaborations with Frank Bruggeman, Bas Teusink, and international teams on systems biology and data science. Xeno-canto supports global biodiversity research via open-access sound recordings.
