About

I am an assistant professor in the School of Data Science and Society and Department of Statistics and Operations Research at UNC-Chapel. I received my Ph.D. in Computer Science from Duke University.

My research lies at the intersection of machine learning, optimization, and human-model interaction. I am interested in developing responsible machine learning algorithms and pipelines to facilitate high-stakes decision-making. Specifically, I have developed interpretable models that provably optimize accuracy and sparsity and introduced a new machine learning paradigm, called learning Rashomon sets, to break the interaction bottleneck between users and machine learning algorithms by enumerating and visualizing all well-performing models.

If you are interested in collaborating or joining my group, feel free to reach out!