I am a Simons postdoc in the Program in Applied and Computational Mathematics, Princeton University, working with Amit Singer. In 2017, I completed my PhD in mathematics at UC Berkeley, under the supervision of Bernd Sturmfels, where my thesis won best in applied mathematics.
My area is the mathematics of data science. Depending on the context, this involves numerical analysis, statistics, optimization and/or computational algebraic geometry. When thinking about an inverse problem or dataset, I seek to identify underlying algebraic or geometric structure to improve algorithms. My main results regard 3-D reconstruction in cryo-electron microscopy, low-rank tensor decomposition, and structure-from-motion in computer vision.
This year I am on the job market for faculty positions. Here is my curriculum vitae.