Katherine Adams, PhD is a Bridge to Faculty Postdoctoral Fellow in Operations & Analytics at UT San Antonio. Katherine is exploring trade-offs in optimal workforce management under uncertainties for healthcare providers, and works collaboratively with a team of managers and physicians at UT Health SA.
Yuqing Xia is a doctoral student in Medical Physics at UT Health SA. Yuqing is building AI models for auto-contouring while quantifying uncertainties in the full treatment planning workflow.
Alicia Maranville is a masters student in Computer Science at SMU. Alicia is building predictive and prescriptive tools to aid healthcare managers form efficient teams of providers, nurses, and residents, under uncertainty.
Kai Sun, PhD is an Assistant Professor in Information Systems at University of Maryland-Baltimore County. Previously, as a post-doctoral fellow at UTSA, he developed robust and fair scheduling models for healthcare providers at UT Health SA.
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Sruthi Sivabhaskar, PhD is a Medical Physics resident at UT Southwestern Medical Center. During her doctoral work at UT Health SA, Sruthi developed machine learning algorithms for radiotherapy quality control.
Shared Publications:
Ruiqi Li, PhD is an Assistant Professor of Radiation Oncology at UT Southwestern Medical Center. During his doctoral work at UT Health SA, Ruiqi contributed towards developing robust AI-assisted predictive models for cancer radiotherapy planning.
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Pallav Routh, PhD is an Assistant Professor of Marketing at University of Wisconsin - Milwaukee. He completed his Ph.D. in Marketing at UTSA. Previously, Pallav contributed towards developing robust predictive models that improve customer relationship management.
Shared Publication: Estimating Customer Churn under Competing Risks
Reisa Widjaja is a doctoral student in Management Science and Statistics at UTSA. As part of the team, Reisa contributed towards developing personalized quality control tools for cancer radiotherapy plan evaluation.
Shared Publication: Treatment Plan Quality Control using Multivariate Control Charts