Campbell Group: Semptember 2020 - Present• Advisor: David Campbell• I developed deep learning models that forecast recurrences to initial conditions in the β-FPUT lattice. • I demonstrated that the inclusion of energy conserving regularization terms in the model significantly reduced error growth in time. CMS Group at Boston University: May 2019 - September 2020• Advisor: David Sperka• Used deep neural network (DNN) architectures and techniques to train DNNs that could be implemented in the very low latency and low computing resource environment of the L1 trigger system.• These models identify Higgs boson signals against QCD background in the CMS experiment.