Shuai Chen
Associate Professor
Division of Biostatistics,
Department of Public Health Sciences,
1 Shields Avenue, Med Sci 1C, Room 145A
University of California, Davis
E-mail: [email protected]
Google Scholar Listing MyBibliography
My Curriculum Vitae
Associate Professor
Division of Biostatistics,
Department of Public Health Sciences,
1 Shields Avenue, Med Sci 1C, Room 145A
University of California, Davis
E-mail: [email protected]
Google Scholar Listing MyBibliography
My Curriculum Vitae
Biography
Dr. Shuai Chen is an Associate Professor in Division of Biostatistics, Department of Public Health Sciences, at University of California, Davis. She obtained a PhD in Statistics at Texas A&M University in 2015, and worked as postdoc in the Department of Biostatistics and Medical Informatics at the University of Wisconsin, Madison for 2 years, prior to joining University of California, Davis. Her research interests include cost-effectiveness analysis for censored data, survival analysis, personalized treatment, longitudinal and multileveled data analysis, and causal inference. Throughout her career, she has extensively collaborated with researchers from various fields such as cancer, mental health, diabetes, hepatology, and health services.
Education
- Ph.D. of Statistics, Texas A&M University, USA, 2015. Advisor: Professor Hongwei Zhao
- M.S. of Statistics, Texas A&M University, USA, 2012
- B.S. of Statistics, School of Mathematical Sciences, Peking University, China, 2010
Appointments
- 2023 - present, Associate Professor, Division of Biostatistics, Department of Public Health Sciences, University of California, Davis, USA.
- 2017 - 2023, Assistant Professor, Division of Biostatistics, Department of Public Health Sciences, University of California, Davis, USA.
- 2015 - 2017, Research Associate, Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, USA. Working with Professor Menggang Yu.
Research interests
- Survival Analysis
- Cost-Effectiveness Analysis with Censored Data
- Personalized Medicine
- Longitudinal and Multilevel Data Analysis
- Causal Inference