Biography
Baolin Wu is a biostatistician with expertise in the broad area of biostatistics, bioinformatics, clinical trials, statistical genetics, genetic epidemiology, and machine learning. He has been actively collaborating with many investigators, helping them solve the scientific research questions and making translational impact. His own methodology research has been motivated these collaborative projects and focused on developing novel statistical and computational methods that can more efficiently extract useful and accurate information from the vast amount of data available.
Current Projects/Studies
Dr. Wu has been involved in many biomedical research projects as a biostatistical collaborator. His current methodology research has been supported by NSF grant and several NIH R01 grants, focusing on developing statistical methods that integrate high-dimensional genetic data with various omics/clinical data (including variant annotations, multiple endophenotypes etc), and across diverse populations to better identify disease variants and predict disease risks.
Education
He received his Bachelor of Science degree in Probability and Statistics from Peking University in 1999 and his PhD degree in Biostatistics from Yale University School of Public Heath in 2004.
Honors and Awards
- Mentored minority junior faculty (research conducted under my direct advice) selected for a PLE NARY oral presentation at the American Transplant Congress (ATC) meeting, 2021
- PhD advisee won Outstanding Dissertation Research Fellowship, 2020
- American Statistical Association (ASA) Biopharmaceutical Section best poster award (first place) at the Joint Statistical Meetings (JSM), 2019
- PhD advisee won Biostatistics Outstanding Research Assistant Award, 2018
