Richard Tyson Richard Tyson received an MSci from the University of Glasgow in 2019, followed by a Ph.D. in 2023 with the Nuclear and Hadron Physics Group at the University of Glasgow. The main topic of his Ph.D. was J/Ψ near threshold photoproduction on the proton and neutron with CLAS12. During this time, Richard also worked on a proof of concept investigation of a Convolutional Neural Network (CNN) based electron trigger for CLAS12 and other machine learning based projects such as using boosted decision trees for fast simulations of particle detectors. In 2023, Richard joined Hall B as a postdoctoral researcher with the aim of finalizing the measurement of J/Ψ near threshold photoproduction on the proton and neutron and deploying a CNN based trigger at CLAS12. Current Responsibilities in Hall B: Development and deployment of a CNN based trigger for CLAS12 Current Research Activities in Hall B: Measurement of the cross section of near threshold J/Ψ photoproduction on the proton and neutron Selected Publications: R. Tyson, G. Gavalian, D.G. Ireland, and B. McKinnon, "Deep Learning Level-3 Electron Trigger for CLAS12", Computer Physics Communications, 290, 108783 (2023). D. Darulis, R. Tyson, D. G. Ireland, D. I. Glazier, B. McKinnon, and P. Pauli, "Machine Learned Particle Detector Simulations", arXiv:2207.11254 (2022).