Ana Best, Ph.D., joined the Biostatistics Branch (BB) as a postdoctoral fellow in the spring of 2015. She received her B.Sc. in probability and statistics (2010) and her Ph.D. in statistics (2015) from McGill University, under the supervision of Prof. David Wolfson. For her dissertation, Dr. Best investigated the theory and benefits of risk-set-sampling within prevalent cohort survival studies. She is now working under the mentorship of Sholom Wacholder, Ph.D., senior investigator, BB, on risk modeling and prediction for breast cancer and lung cancer, as well as methodological questions arising from cancer screening. She is also working with Philip Rosenberg, Ph.D., senior investigator, BB, on modeling and methodological questions pertaining to Li-Fraumeni Syndrome.
Andriy Derkach, Ph.D., joined the Biostatistics Branch (BB) as a postdoctoral fellow after receiving his Ph.D. from the Department of Statistical Sciences at the University of Toronto. For his doctoral dissertation, Dr. Derkach developed new methods for testing associations with groups of rare genetic variants, and extended the underlying theory to make general claims about the properties of score tests for association under response-dependent sampling. Dr. Derkach works with Joshua Sampson, Ph.D., investigator in BB, to identify biological mediators that link exposures with the risk of cancer.
Xing Hua, Ph.D., joined the Biostatistics Branch (BB) as a postdoctoral fellow in April 2013. Dr. Hua worked in the Department of Physiology and Cancer Center of the Medical College of Wisconsin (MCW) as a visiting scholar from 2011 and received his Ph.D. in statistics from the University of Science and Technology of China in 2012. His Ph.D. thesis focused on developing statistical methods and algorithms for analyzing cancer genome sequencing data, including calling somatic mutations and detecting driver genes. Dr. Hua is now working with Jianxin Shi, Ph.D., Investigator, BB, to develop methods for driver gene detection across cancer sites, detect mutations affecting survival, and perform statistical analysis of lung cancer tumor sequencing data.
Dr. Noorie Hyun joined the Biostatistics Branch (BB) as a postdoctoral fellow in the summer of 2014. Dr. Hyun received a Ph.D. in biostatistics from the University of North Carolina. For her Ph.D. thesis, she developed semiparametric models for time-to-event determined by a longitudinal biomarker and threshold, accounting for measurement error in the biomarker value and threshold varying across sub-populations. In BB, she works under the mentorship of Barry Graubard, Ph.D., senior investigator, to develop methodology for designing and analyzing cancer etiologic and descriptive studies that use surveys and other types of complex probability samples with multi-stage stratified cluster designs and sample weights. She also works with Anil Chaturvedi, Ph.D., investigator, Infections and Immunoepidemiology Branch, on developing risk prediction models for oral cancers, and Mark Schiffman, M.D., M.P.H., senior investigator, Clinical Genetics Branch, on developing risk prediction models for cervical cancers.
Marlena Maziarz, Ph.D. joined the Biostatistics Branch (BB) as a postdoctoral fellow in June 2015. She received her M.Sc. in Computer Science (2003) from the University of Toronto, and a her Ph.D. in Biostatistics (2015) from the University of Washington, Seattle, under the supervision of Prof. Yingye Zheng. For her dissertation, Dr. Maziarz worked on risk prediction and evaluation of predictions based on longitudinal biomarkers in cohort and two-phase studies. She is now working under the mentorship of Ruth Pfeiffer, Ph.D., senior investigator, BB, on methodological questions arising in the design of observational studies and on uses of risk models for population screening. She also plans to address statistical questions arising in disease prevention.
Ho-Hsiang Wu, Ph.D., joined the Biostatistics Branch (BB) as a postdoctoral fellow in July 2016. He earned his Ph.D. (2016) from the Department of Statistics of the University of Missouri under the supervision of Dr. Marco Ferreira and Dr. Tieming Ji. Dr. Wu’s doctoral research focused on developing Bayesian methods and algorithms for analyzing next-generation sequencing data. In DCEG, he is working with Bin Zhu, Ph.D., investigator, BB, on statistical approaches for detecting driver genes in cancer development.
Han Zhang, Ph.D., joined the Biostatistics Branch (BB) as a visiting fellow in August 2011. Dr. Zhang received Ph.D. in statistics from the University of Science and Technology of China (USTC). His Ph.D. thesis focused on developing algorithms for haplotype analysis under pooling and individual design. He is now working with Kai Yu, Ph.D., Senior Investigator, BB, on the statistical approaches for rare variants association analysis and gene-gene interaction analysis in case-control studies.current research training opportunities in the Biostatistics Branch.