معرفی
Dongfeng Wu, PhD is a tenured Professor in the Department of Bioinformatics and Biostatistics at the University of Louisville's School of Public Health and Information Sciences (SPHIS). He holds positions in both academic and research capacities, focusing on probability modeling and statistical inference in cancer screening. His work integrates Bayesian methods, statistical decision theory, and epidemiological analysis to address challenges in medical research.
Education:
- B.S. in Probability and Statistics, Peking University (1986–1990)
- M.S. in Probability and Statistics, Peking University (1990–1993)
- M.S. in Computer Science, University of California, Santa Barbara (1997–1999)
- Ph.D. in Statistics, University of California, Santa Barbara (1995–1999)
Research Interests: Dr. Wu specializes in developing statistical methodologies for optimizing cancer screening protocols, including dynamic scheduling algorithms, lead time estimation, and over-diagnosis analysis. His research extends to Bayesian inference, time series analysis, and applications in lung, breast, and colorectal cancer screening. Key contributions include a published book on probability modeling in screening and collaborative work with institutions like the National Lung Screening Trial (NLST).
Funding: He leads the NIH/NCI-funded project R15CA242482 (2019–2023), totaling $435,309, focused on dynamic screening scheduling using statistical methods and software development.
Teaching: At SPHIS, Dr. Wu teaches advanced courses such as Bayesian Inference, Clinical Trials, Survival Analysis, and Biostatistical Methods. Recent courses include PHST691-Bayesian Inference and PHST683-Survival Analysis.
Advising: He has mentored multiple graduate students, including Farhin Rahman (Ph.D. expected 2022), Ruiqi Liu (Ph.D. 2017), and Xiaohong Li (Ph.D. 2017), focusing on topics like parameter estimation in screening and RNA-seq data analysis.
