I received my Ph.D. in Chemistry in 2019 from Stanford University and worked as a postdoctoral researcher in the Department of Mathematics and Computer Science at the Free University Berlin until 2021. As computational power becomes greater and greater there is a need to distill extremely high-dimensional datasets into reduced representations that are intuitive and informative. I am interested in developing algorithms to render these large dynamical datasets more interpretable. Most of my work has focused on the thermodynamics and dynamics of molecules from simulation data, where I have applied dimensionality reduction and machine learning tools to understand systems such as protein folding, molecular property prediction, fluid dynamics, and nanomaterials.