About
I am an Assistant Professor in the Management Science and Statistics department housed in the Alvarez College of Business at the University of Texas at San Antonio (UTSA). I am also a Core Faculty member of the new School of Data Science at UTSA. Previously, I was a faculty member in the Applied Statistics and Operations Research department at Bowling Green State University. In addition to my doctoral work at the School of Industrial Engineering at Purdue University, I conducted research as a Visiting Research Fellow in the Industrial Engineering and Management Sciences department at Northwestern University.
My research is interdisciplinary and focuses on the use of robust optimization and data analytics to improve end-user outcomes in healthcare (for patients and providers), and in sustainable services (for marginalized populations). For patients and providers, I develop robust models for cancer radiotherapy, data-driven tools for treatment evaluation and quality control, as well as, scheduling models for diagnostics and operations. For marginalized communities, I seek to inform decision-makers on providing sustainable, equitable and resilient services using analytics and optimization.
In addition to my research and teaching endeavors, I am an active member of the Institute for Operations Research and the Management Sciences (INFORMS) and the American Association of Physicists in Medicine (AAPM).
Experience & Education
The University of Texas at San Antonio
2023 - Core Faculty in the School of Data Science
2018 - Assistant Professor in Management Science and Statistics
Bowling Green State University
2015 - 2018 Assistant Professor in Applied Statistics and Operations Research.
Northwestern University
2013 - 2015 Visiting Pre-Doctoral Fellow in Industrial Engineering and Management Sciences.
Purdue University
2010 - 2015 Ph.D. in Industrial Engineering, School of Industrial Engineering.
2006 - 2009 Bachelor of Science in Industrial Engineering, School of Industrial Engineering.
Recent News
Aug 2023: Our paper on Equitable Anesthesiologist Scheduling under Demand Uncertainty using Multi-Objective Programming is available online at Production and Operations Management journal.
Jul 2023: I will be presenting our work on Robust AI-Assisted Radiotherapy Planning at INFORMS Healthcare Conference at Toronto, ON.
Jul 2023: My student, Sruthi Sivabhaskar, will be presenting our work on Clinical implementation of the multivariate risk-adjusted control chart for monitoring plan quality at AAPM Annual Conference at Houston, TX.
May 2023: My post-doc, Dr. Kai Sun, will be presenting our work on Equitable Anesthesiologist Scheduling under Uncertain Demand via Multi-Objective Programming at the POMS Annual Conference in Orlando, FL.
Apr 2023: Our research on AI in Radiotherapy was in the news by Texas Public Radio (NPR), UTSA Today, and other healthcare media outlets.
Mar 2023: Our paper on CBCT-guided Adaptive Radiotherapy using Self-Supervised Sequential Domain Adaptation with uncertainty Estimation is published at Medical Image Analysis journal.
Mar 2023: I will be presenting our work on Adaptive Robust Radiotherapy Planning to Manage Radioresistance to the ORIE faculty and students at UT Austin.
Mar 2023: I will giving a guest lecture on Quality Control with Applications in Engineering Project Management (ENM 380) at UT Austin.
Contact
Office: 340N, San Pedro 1, 506 Dolorosa St., San Antonio, TX 78204.