Published numerous papers, including research on practitioner workflows in optimization, interpretable prediction and feature selection methods, and online learning of step sizes. Her students also completed their PhDs in 2025, focusing on interpretable machine learning and large-scale optimization.
Research Experience
Affiliations with multiple academic organizations at Stanford University such as ICME, Operations Research, Data Science, HAI, and BioX. Supervised several PhD students.
Background
Assistant Professor in Management Science and Engineering, and (by courtesy) Electrical Engineering. Gabilan Faculty Fellow. Research interests include applied statistics, optimization, and handling big messy data.
Miscellany
Contact: Office at Huang Engineering Center, room 251. Email: udell@stanford.edu. Social media: Google Scholar, GitHub, Twitter, and LinkedIn.