Regular biography
Dr Barbara Bravi is an Associate Professor in Biomathematics at the Department of Mathematics, Imperial College London. Her research focuses on mathematical modeling and analysis in biological systems. Dr Bravi's work contributes to the understanding of complex biological processes through quantitative methods. She is affiliated with the university's mathematics department and maintains an online profile at https://profiles.imperial.ac.uk/b.bravi.
Scholar-generated biography
Barbara Bravi is a researcher at Imperial College London specializing in Biomathematics, Statistical Biophysics, and Machine Learning. Her work focuses on developing and applying machine learning algorithms to problems in immunology, particularly in vaccine target selection and T-cell receptor epitope prediction. She has contributed to benchmarking efforts in immunoinformatics and has explored statistical physics approaches to model biochemical systems and infer hidden states in complex dynamics. Her research also includes the development of semi-supervised methods for antigen prediction and the application of deep learning to antibody binding affinity prediction. Bravi's work bridges computational methods with biological systems to advance understanding of immune responses and molecular interactions.