Rita Ionides

Rita is a double-major in Pure Mathematics and Data Science at University of Michigan. Her research is in the application of differential privacy to generative modeling, most recently diffusion. When she’s not doing research, she teaches discrete math to undergraduates and poker theory to her friends. Ask her about salsa dancing, topology, or time series modelling for the zombie apocalypse!