Who We Are
BCCC Resources and Environment
The BCCC is located within the Division of Biostatistics in the Department of Epidemiology and Public Health. BCCC resources include state-of-the-art research computing equipment to support biostatistical, epidemiologic, basic, clinical and translational health research. All technologies used within the BCCC are production quality and fully supported externally by the respective vendors, ensuring that current technologies are readily available for use on a project, as appropriate.
BCCC Leadership and Personnel
All collaboration and consulting activities involve MS and Ph.D. level BCCC staff statisticians. The members of the BCCC cover a wide range of interests and statistical expertise and have consulting experience in a variety of subject matter areas.
Biostatistician/Ph.D. Candidate Xuan Chen is a fourth-year Ph.D. student in Biostatistics in the Department of Public Health Sciences at the University of Miami. He earned his M.S. in Biostatistics from the University of Michigan and his B.S. in Biological Sciences from Tsinghua University. He joined the Biostatistics Collaboration and Consulting Core (BCCC) in September 2024. His areas of expertise include statistical modeling, machine learning, Bayesian statistics, and survival analysis. Xuan has extensive experience in diabetes research, genomic studies, and high-dimensional data analysis. He is also proficient in advanced programming languages such as R and SAS. He is dedicated in providing statistical support to the UM research community. Biostatistician/Ph.D. Candidate TianHao Liu received his Master of Science degree in Biostatistics from the University of Miami. He is currently a first-year PhD student in the Biostatistics program in the Department of Public Health Sciences. TianHao has been in the Biostatistics Collaboration and Consulting Core (BCCC) team since January 2022. He has worked as a research volunteer to assist in COVID’s future long-term projections. TianHao is fluent with R, and has been working in COVID modeling, also fluent in Python, C++, SAS and SQL. He is dedicated in providing statistical support to the UM research community. Biostatistician/Ph.D. Candidate
Xuan Chen
TianHao Liu
Mengxue Zhang