معرفی
Volodymyr Minin is a Professor in the Department of Statistics at the University of California, Irvine (UCI), within the Donald Bren School of Information & Computer Sciences. His work focuses on statistical inference for stochastic processes in biological systems, with applications to infectious disease epidemiology, immunology, and systems biology. He develops methods for real-time modeling and forecasting of infectious disease spread, integrates genomic data to study transmission dynamics (e.g., tuberculosis in Botswana), and analyzes hematopoiesis processes to understand blood cell differentiation.
His research interests include evolutionary processes in pathogens, immune system dynamics, and the application of statistical methods to genomic epidemiology. He has contributed to methodologies for phylodynamic analyses, stochastic epidemic modeling, and Bayesian phylogenetic inference. His work emphasizes practical applications in public health, such as optimizing resource allocation during outbreaks and evaluating intervention strategies.
Minin’s projects span disciplines from virology to immunology, leveraging high-throughput data and computational tools. He collaborates on initiatives like the Center for Statistical Consulting, applying statistical rigor to real-world health challenges. His research has addressed SARS-CoV-2 transmission, cholera outbreaks, and the evolution of antibiotic resistance in pathogens.
