News

A successful career in foreign policy and economic diplomacy and a desire to study organizational behavior brought Laura to MS&E, where she earned her PhD in 2022.

Newly-developed methods will improve the basic machine learning workflow and train data scientists on the new models.

As she begins retirement, MS&E's Director of Finance & Operations, Emerita shares her journey, proudest moments, and plans for the future.

The award celebrates accomplished PhD alums from the McCombs School of Business at the University of Texas.

The accomplished cohort of 2022 SMS Fellows was elected in October 2022.

Faculty speakers shared different perspectives about the ways artificial intelligence is impacting MS&E's research and teaching.

The award recognizes Fairley, Prof. Brandeau, and collaborators from Stanford Medical School and the VA Palo Alto Health Care System.

Prof. Sheares's research broadly examines how members of racially minoritized groups understand and respond to inequality.

Get to know some of our students, their backgrounds, and what brings them to MS&E.

Prof. Syrgkanis's research addresses problems at the intersection of machine learning, economics and theoretical computer science.

Prof. Vitercik's research revolves around artificial intelligence, algorithm design, and the interface between economics and computation, with a focus in machine learning theory.

Newly designed algorithms will be better able to learn and predict human decisions.

Prof. Karunakaran received awards and recognition from the Industry Studies Association and the American Sociological Association.

MS&E graduates recently won several best paper awards and Emerging Scholar of the Year award. One is now a Fellow of the Academy of Management.

New projects sponsored by the Stanford Institute for Human-Centered Artificial Intelligence focus on social responsibility and equity.

The AOM Communication & Technology in Organization Division announced the winners during its Annual Business Meeting in August 2022.

Prof. Udell studies optimization and machine learning for large scale data analysis and control.

Students from MS&E's 2021-22 Undergraduate Diversity in Research (UDR) program cohort share their stories, experiences, and plans for the future.