Simrita Singh

Simrita Singh is an Assistant Professor in the Department of Information Systems & Analytics at Leavey School of Business. Her research integrates cutting-edge technology, data-driven analytics (e.g., deep learning), and traditional optimization techniques to enhance cost efficiency and access in service systems, with a focus on healthcare and retail operations.

• Education: B.Tech in Electronics and Communication Engineering from Indian Institute of Technology, Roorkee; M.S. and Ph.D. in Operations Management from The Kellogg School of Management, Northwestern University.

Her work explores innovations like computer-aided triage (CADt), clinical decision support systems (CDSS), big data analytics on healthcare claims, digital twins, and personalized connected care. Publications appear in top journals such as PLOS Medicine, Nature Scientific Reports, and BMJ Open, with ongoing reviews in leading management journals.

Recent articles highlight her focus on AI integration in healthcare pathways (2024), priority queuing for clinical workflows (2024), Medicaid service access (2022), differential diagnosis modeling (2022), and simulation studies on tuberculosis diagnosis in India (2020, 2019). Her prior experience includes roles as a business analyst at JP Morgan and an independent consultant for Indian educational institutes.