Gareth Conduit has a track record of applying artificial intelligence to solve real-world problems, with research contracts held with companies spanning from materials science to healthcare. Gareth holds an academic position at the University of Cambridge and is a Fellow of Gonville & Caius College.
Deep learning for sparse or noisy data with proven solutions in advanced materials and drug discovery
Reducing cost and risk by accurately modelling expensive experimental datapoints from minimal data
Integrated software to optimise processes and reduce costs, used online or integrated within existing workflows