My research revolves around developing cutting-edge technologies in optimization, statistics and machine learning to tackle real-world decision-making challenges in healthcare resource allocation.
My research revolves around developing cutting-edge technologies in optimization, statistics and machine learning to tackle real-world decision-making challenges in healthcare resource allocation.
Wang, Yinsheng, et al. "Using queueing models as a decision support tool in allocating point-of-care HIV viral load testing machines in Kisumu County, Kenya." Health Policy and Planning 39.1 (2024): 44-55.
Check out our paper here: [Paper Link]
15 min podcast generated by Notebook LM: [Audio Overview]
Wang, Yinsheng, et al. "Optimising HIV drug resistance testing laboratory networks in Kenya: insights from systems engineering modelling." BMJ open 14.4 (2024): e079988. [Paper Link]
Yinsheng Wang, Kathryn Brandeau, Shan Liu*. (Oct. 2024). A Marginal Distributions Constrained Optimization Approach of Estimating True Prevalence of Pediatric Mental Health Conditions in Washington State. INFORMS Annual Meeting, Seattle, WA.
Yinsheng Wang*, Shan Liu, Chaoyue Zhao. (Oct. 2024). Optimizing HIV Point-of-care Testing Systems in Kenya Under a Conditional Value at Risk Objective. INFORMS Annual Meeting, Seattle, WA.
Yinsheng Wang*, Shan Liu, Chaoyue Zhao. (Oct. 2023). Queueing-location-allocation Model under Stochastic Demand. INFORMS Annual Meeting, Phoenix, AZ.
Yinsheng Wang*, Anjuli Wagner, Rena Patel, Leonard Kingwara, Shan Liu. (Oct. 2022). Optimizing HIV Viral Load Testing Systems in Kenya based on Queueing and Optimization Model. Poster Session, SMDM, Seattle, WA.
Yinsheng Wang*, Anjuli Wagner, Rena Petal, Shan Liu. (Oct. 2022). Queueing-location-allocation Model for HIV Viral Load Testing in Kenya. INFORMS Annual Meeting, Indianapolis, IN.
*indicates the speaker of the talk