Abstract: The study of the neutrino is currently one of most promising ways to search for beyond Standard Model Physics. Already, a beyond Standard Model effect has been observed wherein neutrinos transform from one type to another through a process known as neutrino oscillations. Through further measurements of neutrino oscillations, the field aims to answer additional open questions such as “do neutrinos and anti-neutrinos behave the same way?” and “how many types of neutrinos are there?”. The answers will impact not only our understanding of particle physics but also will influence our models of how the universe evolved. However, to get to these answers, neutrino experiments will need to move into an era of high-precision measurements. One way to achieve this is through the use of a detector known as a liquid argon time-projection chamber, or LArTPC. These detectors are capable of producing high-resolution images of neutrino interactions that can be used to reject backgrounds more effectively than past experiments. In this talk, I will describe the LArTPC experiments that will take place over the next decade and how they will aim to search for signs of a new type of neutrino and to measure CP-violation in the neutrino sector. I will describe some of the opportunities and challenges I have faced as a member of the MicroBooNE experiment, which is now successfully employing a LArTPC detector. In particular, I will describe efforts to analyze LArTPC data using Deep Learning.