Our youtube channel: https://www.youtube.com/@JohnsHopkinsSLAM
Onsite seminar
Time: 8/29/2025, Friday 1:30-2:45pm
Place: Genome Cafe, Room E3609
Light lunch provided at 1:10pm
zoom https://jh.zoom.us/j/92541596817
Speaker: Wenbo Wu, Assistant Professor, Department of Health Policy and Management, Johns Hopkins University
Title: Data Science-Powered Provider Profiling to Enhance Quality and Equity in Health Care Delivery
Abstract: Provider profiling is a widely used comparative evaluation tool to inform patients’ care decision making and to improve the quality of care delivered by health care providers. Based on standardized quality measures of patient outcomes, this process entails quantifying provider performance and pinpointing providers with subpar performance. Current methods for profiling activities rely on risk adjustment models with the linearity assumption, often too restrictive to characterize complex associations between risk factors and outcomes. Moreover, these methods, having been historically driven by the demand for controlling care expenditures, tend to pool all racial/ethnic groups without accounting for their socioeconomic heterogeneity. Despite the importance of distinguishing between cost-driven and equity-driven profiling, a theoretical framework capable of addressing these different but related profiling objectives is still lacking, due in part to the absence of a unifying approach that defines context-specific performance benchmarks. To address these issues, we propose a versatile probability framework based on hypothetical reference providers corresponding to specific profiling objectives. Furthermore, we develop flexible machine learning approaches that relax the linearity assumption. These methods will advance the methodology of provider profiling, thereby triggering improved care-seeking decision-making by patients and stakeholders and evidence-based accountability of providers.
9/19/2025
Quentin Le Coent, Postdoctoral Fellow, Johns Hopkins University
11/7/2025
Ronghui (Lily) Xu, Professor, University of California, San Diego
11/21/2025
Gary Hettinger, Assistant Professor of Biostatistics at the NYU Grossman School of Medicine
12/5/2025
Lu Xia, Assistant Professor, Department of Statistics and Probability, Michigan State University.
Postdoctoral Fellow in Biostatistics – Johns Hopkins University
Position Description The Department of Biostatistics at the Johns Hopkins Bloomberg School of Public Health and the Sidney Kimmel Comprehensive Cancer Center (SKCCC) invite applications for a full-time postdoctoral fellow position in biostatistics. The successful candidate will be jointly supervised by Dr. Mei-Cheng Wang (https://publichealth.jhu.edu/faculty/733/mei-cheng-wang) and Dr. Chen Hu (https://profiles.hopkinsmedicine.org/provider/chen-hu/2777794), and will work on cutting-edge research projects related to biomarker development and evaluation in oncology and Alzheimer’s disease.
This position offers a unique opportunity to engage in both methodological and collaborative research, focusing on survival analysis, longitudinal data analysis, and biomarker-based risk modeling. The fellow will work with high-quality clinical and observational datasets and contribute to interdisciplinary research teams at the forefront of cancer and neurodegenerative disease research.
Qualifications
· PhD in Biostatistics, Statistics, or a related quantitative field (completed by start date)
· Strong background in survival and longitudinal data analysis
· Demonstrated interest and/or experience in biomarker development and evaluation
· Proficiency in statistical programming (e.g., R, SAS, or Python)
· Excellent oral and written communication skills
· Ability to work independently and collaboratively
Position Details
· Location: On-site at Johns Hopkins University, Baltimore, MD
· Start Date: Immediate, applications will be reviewed on a rolling basis until filled
· Duration: 1 year with the possibility of renewal based on performance and funding
· Affiliation: Joint between the Department of Biostatistics (Bloomberg School of Public Health) and the Sidney Kimmel Comprehensive Cancer Center (SKCCC)
· Salary: Commensurate with NIH postdoctoral stipend levels and candidate experience
Application Instructions To apply, please send the following documents to huc@jhu.edu and mcwang@jhu.edu:
1. A cover letter describing your research interests and career goals
2. Curriculum vitae
3. Names and contact information for three references
4. One or two representative publications or manuscripts (if available)