Jordan Aron, B.A., joined the Biostatistics Branch (BB) as a postbaccalaureate fellow in August 2018 after receiving his B.A. in mathematics from Carleton College, Northfield, Minnesota. During the summer of 2017, Mr. Aron was an intern at Cincinnati Children’s Hospital Medical Center in Dr. Emily Miraldi’s lab, where he worked on creating transcriptional regulatory networks from single-cell RNAseq data. As a BB postbaccalaureate fellow, Mr. Aron works under the mentorship of Paul Albert, Ph.D., senior investigator and Chief, BB, Li Cheung, Ph.D., staff scientist, BB, and Hormuzd Katki, Ph.D., senior investigator, BB, on applying hidden Markov models to study the natural history of HPV.
Ana F. Best, Ph.D., joined the Biostatistics Branch (BB) in 2015 as a postdoctoral fellow, under the mentorship of Philip Rosenberg, Ph.D. She received her B.Sc. in probability and statistics in 2010, and her Ph.D. in statistics from McGill University in 2015, 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. Dr. Best’s current research interests include extensions of the Age-Period Cohort (APC) model; forecasting cancer incidence and survivorship; study design development in survival analysis, risk assessment, and screening protocols; and examination of individual and familial cancer risk for genetic disorders.
Hyoyoung Choo-Wosoba, Ph.D., joined the Biostatistics Branch (BB) as a postdoctoral fellow in August 2016. She earned her Ph.D. from the Department of Bioinformatics and Biostatistics at the University of Louisville, Kentucky, under the supervision of Dr. Somnath Datta. Dr. Choo-Wosoba‘s doctoral research focused on developing statistical methodology to analyze zero-inflated clustered count data. She is currently working under the mentorship of Paul Albert, Ph.D., senior investigator and Chief, BB, on a collaborative project with Bin Zhu, Ph.D., investigator, BB, concerning statistical approaches for copy number variation detection using next-generation sequencing data.
Lu Deng, Ph.D., joined the Biostatistics Branch (BB) as a postdoctoral fellow in September 2017. Dr. Deng received his Ph.D. (2017) in mathematical statistics from Nankai University of China, under the supervision of Drs. Zhaojun Wang and Changliang Zou. His Ph.D. dissertation research focused on statistical inference for high-dimensional data, including multiple hypothesis testing, variable selection, and sufficient dimension reduction. Currently, he is working with Kai Yu, Ph.D., senior investigator, BB, on developing statistical methodologies to address emerging challenges from current genetic and molecular epidemiology studies.
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.
Gregory Haber, Ph.D., joined the Biostatistics Branch (BB) as a postdoctoral fellow in June 2018. He earned his Ph.D. from the Department of Mathematics and Statistics at the University of Maryland, Baltimore County, under the supervision of Yaakov Malinovsky, Ph.D. Prior to joining BB, Gregory spent two years as a predoctoral fellow in the Center for Drug Evaluation and Research, U.S. Food and Drug Administration. Currently, Dr. Haber is working with Barry Graubard, Ph.D., senior investigator, BB, Paul Albert, Ph.D., Chief and senior investigator, BB, and Danping Liu, Ph.D., investigator, BB. His research is focused on the analysis of record-linked data with measurement error due to incorrect linkage as well as the transportability of prediction models across finite populations in epidemiological studies.
Justin Yongli Han, Ph.D., joined the Biostatistics Branch (BB) as a postdoctoral fellow in January 2018. Prior to joining BB, Dr. Han was a postdoctoral fellow in the Biostatistics and Bioinformatics Branch, Division of intramural Population and Health Research of the Eunice Kennedy Shriver National Institute of Child Health and Human Development. In 2016, Dr. Han earned his Ph.D. in statistics from the University of Hong Kong. Currently, Dr. Han works with Danping Liu, Ph.D., investigator, BB, on diagnostic testing, biomarker evaluation and combination, risk prediction, joint analysis of complex longitudinal and survival data, and missing data methodologies in cancer studies and health behavior research.
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.
Do Hyun Kim, B.S., joined the Biostatistics Branch (BB) as a postbaccalaureate fellow in July 2018. Mr. Kim graduated from Johns Hopkins University in 2013 with a bachelor’s degree in molecular and cellular biology and second major in neuroscience. Mr. Kim is working with Jianxin Shi, Ph.D., senior investigator, BB, on the genome-wide association studies of lung cancer and copy number variation analysis of chordomas.
Rebecca Landy, Ph.D., joined the Biostatistics Branch (BB) and Clinical Genetics Branch (CGB) as a postdoctoral fellow in February 2018. Dr. Landy earned her Ph.D. in epidemiology and statistics in 2012 from University College London, U.K., under the supervision of Prof. Rebecca Hardy. Her doctoral research focused on missing data in longitudinal studies. Prior to joining NCI, she worked as a statistician at the Centre for Cancer Prevention, Queen Mary University of London with Prof. Peter Sasieni, evaluating cervical cancer screening in England. Dr. Landy is working with Anil Chaturvedi, Ph.D., senior investigator, CGB, and Hormuzd Katki, Ph.D., senior investigator, BB, to understand the natural history of human papillomavirus-related oropharyngeal cancers, and the appropriate use of risk estimation methods when evaluating cancer screening.Yei Eun Shin, Ph.D. – Postdoctoral Fellow
Yei Eun Shin, Ph.D., joined the Biostatistic Branch (BB) as a postdoctoral fellow in October 2017. Dr. Shin completed her Ph.D. in statistics from Texas A&M University, College Station, in August 2017. For her doctoral dissertation, she developed statistical research on covariate matching methods, monotone functional data analysis, and binary spatio-temporal data modeling. Dr. Shin is working with Mitchell H. Gail, M.D., Ph.D., senior investigator, BB, to enhance the survival model from the two-phase sampling design of a cohort.
Lingxiao Wang, M.S., joined the Biostatistics Branch (BB) as a predoctoral fellow in March 2017. She received her M.S. in survey methodology (statistics track) from the University of Maryland, College Park (UMCP), and an M.A in applied statistics from the University of California, Santa Barbara. She is now pursuing a Ph.D. degree in survey methodology at UMCP. Her Ph.D. dissertation research is being done under the NIH Graduate Partnership Program with BB mentors Hormuzd Katki, Ph.D., senior investigator, Barry Graubard, Ph.D., senior investigator, and her UMCP mentor Yan Li, Ph.D. Her research focuses on improving representativeness of non-probability epidemiological cohorts in the analysis, and developing statistical methods for analyzing health and genetic survey data.
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.