We train flexible thinkers to be well-versed practitioners of modern biostatistics who will become leaders in academia, industry, and government.
PhD candidate Yeji Ko discusses her research, "Maximizing the Utility of Electronic Health Record Data for the Development, Evaluation, and Implementation of Real-time Prognostic Models," on Wednesday, September 2, at 1 pm CT, in a hybrid presentation. Her advisor is Dr. Benjamin French.
The 2026 Women in Statistics and Data Science Conference features several department members and alumni on the program, including PhD students Ashley Mullan and Alexis Fleming Schwartz, research associate professor Laurie Samuels, and alumnae Sarah Lotspeich (PhD 2021) and Jamie Joseph (PhD 2024).
