Kaela Nelson is a senior at Brigham Young University (BYU), studying applied and computational mathematics with an emphasis in predictive modeling. Her undergraduate rigorous course load consists of mathematics courses covering the topics: Algorithms and Optimization, Mathematical Analysis, Modeling with Uncertainty and Data, Modeling with Dynamics and Control, and Deep Learning. She also competed in three Association for Computing Machinery (ACM) school-wide competitions, receiving 4th place in November 2017, 2nd place in March 2018, and 1st place in November 2018. Kaela was an intern for the Team Research in Applied Computational Mathematics (TRiCAM) program at Harvard University in 2017. She then returned to Harvard in June 2018 as an undergraduate research fellow and has continued to work remotely for Harvard while she is finishing up her studies at BYU. Her current research interests lie within the field of computational health science, and her current research entails analyzing the causal relationship between cardiovascular disease and exposure to particulate matter 2.5. Kaela will be attending Harvard University in the Fall of 2019 to pursue a Master of Engineering degree in Computational Science and Engineering.