Ben Davis
Data Scientist
Ben joined Octopus in 2019 as a Senior Scientific Software Developer and Machine Learning Scientist after eight years postdoctoral experience at the UCL Institute of Ophthalmology (Glaucoma, Drug Delivery and Neurodegeneration) and a Welcome Trust funded fellowship at Imperial College (BioImage analysis and Spatial Statistics). Initially working with the ONI Nanoimager microscope system, he began at Octopus by developing fully automated single molecule imaging pipelines for the Fluorophore Localisation Imaging with Photobleaching (FLImP), a technique that’s been used by the group to study Epidermal Growth Factor Receptor (EGFR) oligomerisation and now available for facility users.
His research interests include developing novel data analysis approaches to maximise information extraction from biologically and clinically relevant spatial point patterns, from single molecule data to cell populations. He is on the supervision panel of several PhD students in statistics at working on a variety of projects, including developing algorithms for time-series segmentation, novel approaches for handling error prone yet clinically relevant spatial point patterns, and techniques for template free pattern discovery within these processes.