Jeanie Schreiber is a fifth-year mathematics PhD student at George Mason University with experience in pure and applied mathematical research as well as computational techniques. Jeanie’s research is focused on improving our understanding of AI and offering more mathematically principled alternatives where appropriate. In the past, she has worked on large projects involving AI explainability/interpretability, as well as various other modeling and optimization problems in the realm of data analysis. She is a well-rounded researcher with experience in many different roles offering unique perspectives on analysis and problem-solving, and is capable of providing insight into theoretical basis behind sophisticated applied mathematical techniques and their implementation.