معرفی
Prof. David Wild is a Professor in the Department of Statistics and Zeeman Institute at the University of Warwick. His research focuses on statistical bioinformatics, Bayesian computation, and systems biology, with applications in functional genomics, proteomics, and protein energetics. He has been funded by organizations including the UK BBSRC, EPSRC, EU, and the US NSF and NIH.
His work includes developing state-space models for gene regulatory networks, nonparametric Bayesian methods for data fusion, and computational approaches to protein folding and energetics. Collaborations include Lorantis Ltd., Warwick School of Life Sciences, and the University of Birmingham.
Recent projects involve inferring dynamic biological networks with time-varying topologies, improving computational efficiency via GPU methods, and advancing knowledge of protein energetics using Bayesian techniques. Future research aims to explore synthetic biology applications in protein design.
Key funding sources include the BBSRC (SABR/SYSMO initiatives), EPSRC, EU, Leverhulme Trust, and NIH/NSF grants. His lab's work has led to advancements in understanding plant responses to pathogens and environmental stress, as well as T-cell activation dynamics.
