My research is in nonlinear algebra and nonlinear statistics. I develop, analyze, and apply statistical models for discrete relational data such as networks. I also study randomized algorithm approaches to computational algebra problems whose expected runtimes are much lower than the well-known worst-case complexity bounds, develop probabilistic models to study average and extreme behavior of algebraic objects, and use machine learning to predict and improve the behavior of algebraic computations.
Background
Mathematician, statistician, entrepreneur. Discovering, studying, and modeling structure in relational data.
Miscellany
Passion: social responsibility, inclusion, community engagement, and empowering others. AIforSociety: trustworthy AI assessment. Activism: Bike Bus organizing.