معرفی
Dr. Vasileios Giagos is a Lecturer at the University of Essex, affiliated with the School of Mathematics, Statistics and Actuarial Science (SMSAS). His research focuses on stochastic modeling, Bayesian analysis, computational statistics, and machine learning, with applications in healthcare, epidemiology, biology, and animal science. He has published extensively on topics ranging from healthcare data imputation algorithms to the behavioral biology of horses and genetic network inference.
His academic contributions include work on statistical methodologies for healthcare data analysis, such as imputation techniques and assessments of medical data incompleteness. He also explores the intersection of education and statistics, including grading methodologies. In animal science, he investigates equine feeding behavior and sensory perception. His computational research spans areas like reaction networks, prion dynamics in yeast, and auto-regulatory genetic systems.
Contact him via v.giagos@essex.ac.uk for collaborations or further inquiries.
