Christina Kreisch obtained her PhD in Astrophysics from Princeton University in 2021. While there, she was an NSF Graduate Research Fellow, Presidential Fellow, and Charlotte Elizabeth Procter Fellow. She received Certificates in both Statistics & Machine Learning and Computational & Information Science, as well as a certification in teaching. She graduated from Washington University in St. Louis in 2015 with a double major in Physics and Mathematics. Her work has focused on understanding the large scale structure of our universe and how we can use it to better constrain theories of the universe’s evolution and its constituents, utilizing machine learning to glean complicated, nonlinear relationships in data.