Katherine B. Adams
Postdoctoral Fellow in Operations and Analytics
University of Texas at San Antonio
Katherine B. Adams
Postdoctoral Fellow in Operations and Analytics
University of Texas at San Antonio
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Postdoctoral Fellow in Operations and Analytics
University of Texas at San Antonio
Katherine B. Adams is a Postdoctoral Fellow in the Department of Operations and Analytics at the University of Texas at San Antonio, where she develops planning models for healthcare delivery that center human behavior and the preferences of patients and providers. Her work applies optimization and machine learning to problems including anesthesia staffing and surgical scheduling, carried out in close collaboration with clinical partners at UT Health San Antonio and Children's Health. She is transitioning into a tenure-track faculty position in 2027 through UT San Antonio's Bridge to Faculty Program, and she is completing her postdoctoral training under the mentorship of Dr. Arka Roy.
Katherine B. Adams is a Postdoctoral Fellow in the Department of Operations and Analytics at the University of Texas at San Antonio, where she develops planning models for healthcare delivery that center human behavior and the preferences of patients and providers. Her work applies optimization and machine learning to problems including anesthesia staffing and surgical scheduling, carried out in close collaboration with clinical partners at UT Health San Antonio and Children's Health. She is transitioning into a tenure-track faculty position in 2027 through UT San Antonio's Bridge to Faculty Program, and she is completing her postdoctoral training under the mentorship of Dr. Arka Roy.
Dr. Adams's research has published in journals such as Operations Research, where she is lead author of "Planning a community approach to diabetes care in low- and middle-income countries using optimization". Her achievements have been recognized through UT San Antonio's Alvarez Research Fellowship and the Bonder Scholarship for Applied Operations Research in Health Services from INFORMS, among other honors.
Dr. Adams's research has published in journals such as Operations Research, where she is lead author of "Planning a community approach to diabetes care in low- and middle-income countries using optimization". Her achievements have been recognized through UT San Antonio's Alvarez Research Fellowship and the Bonder Scholarship for Applied Operations Research in Health Services from INFORMS, among other honors.
Her path into operations research began at Arizona State University, where she earned a B.S. and M.S. in Industrial Engineering and worked on job-shop scheduling and conservation-planning optimization, followed by internships at Mayo Clinic and Intel. She then completed a Ph.D. in Industrial and Systems Engineering at the University of Wisconsin-Madison, advised by Drs. Justin Boutilier and Yonatan Mintz, designing optimization models for Community Health Worker deployment in diabetes care that used approximate dynamic programming and multi-armed bandit methods.
Her path into operations research began at Arizona State University, where she earned a B.S. and M.S. in Industrial Engineering and worked on job-shop scheduling and conservation-planning optimization, followed by internships at Mayo Clinic and Intel. She then completed a Ph.D. in Industrial and Systems Engineering at the University of Wisconsin-Madison, advised by Drs. Justin Boutilier and Yonatan Mintz, designing optimization models for Community Health Worker deployment in diabetes care that used approximate dynamic programming and multi-armed bandit methods.
Her current research applies optimization under uncertainty to support the people who deliver and receive care – including an anesthesiologist assignment model that balances provider preferences with coverage requirements to aid retention, a related initiative on anesthesiology vacation planning, a surgery-scheduling project aimed at improving schedule reliability given the high variability in pediatric surgery duration, and a truck-routing model for rural water delivery in Alaska designed to reduce and evenly spread driver workloads.
Her current research applies optimization under uncertainty to support the people who deliver and receive care – including an anesthesiologist assignment model that balances provider preferences with coverage requirements to aid retention, a related initiative on anesthesiology vacation planning, a surgery-scheduling project aimed at improving schedule reliability given the high variability in pediatric surgery duration, and a truck-routing model for rural water delivery in Alaska designed to reduce and evenly spread driver workloads.
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