Summary
I started my PhD in 2019 as part of the AI4Health Centre for Doctoral Training. As a member of The Stevens Group and The Computational Optimisation Group, my research focuses on using machine learning to better design lab experiments. I use Bayesian methods, including Gaussian processes and Bayesian optimisation, to more intelligently select which experiments to run.
Currently, I am working on developing a transfer learning method for the design of PCR (Polymerase chain reaction) experiments.
Publications
Journals
Bianchi F, Sedgwick R, Ye H, et al., 2018, Strain partitioning between nerves and axons: Estimating axonal strain using sodium channel staining in intact peripheral nerves, Journal of Neuroscience Methods, Vol:309, ISSN:0165-0270, Pages:1-5