معرفی
Jingshen Wang is an Associate Professor in the Division of Biostatistics at the School of Public Health, University of California, Berkeley. Her research focuses on causal inference, adaptive experimental design, precision medicine, and machine learning methods for healthcare, particularly applied to Alzheimer’s disease heterogeneity and HIV prevention in Tanzania. She joined Berkeley in 2019 after completing her PhD in Statistics at the University of Michigan (2013–2019) and a BS in Statistics and Mathematics at Nankai University (2009–2013).
- Education: PhD in Statistics, University of Michigan (2019)
- Education: BS in Statistics and Mathematics, Nankai University (2013)
Her work bridges statistical methodology and public health applications, with a focus on uncovering treatment effect heterogeneity using AI and big data streams like mobile health sensors. She is actively involved in editorial roles for the Journal of the Royal Statistical Society, Series B and the Journal of Biopharmaceutical Statistics.
Scientific Awards:
- NSF Career Award (2023)
- Forbes 30 Under 30 in Healthcare (2021)
Dr. Wang has secured substantial funding, including a $2.8 million award for HIV prevention research in Tanzania, and collaborates on methodologies to improve personalized health interventions.
