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Current Fellows in the Biostatistics Branch

Meet the current fellows in the Biostatistics Branch and learn about current research training opportunities.

Xing Hua, Ph.D. - Postdoctoral Fellow

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., principal 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. 

DCEG Publications (text and abstracts from our publications database)

Paige Maas, Ph.D. - Postdoctoral Fellow

Paige Maas, Ph.D., joined the Biostatistics Branch (BB) in the fall of 2009 as the first participant in the Biostatistics in Cancer Epidemiology Predoctoral Training Program, a partnership between NCI and the Johns Hopkins Bloomberg School of Public Health. She received her bachelor's degree in applied mathematics with minors in biology and psychology from Pomona College in 2009 and her Ph.D. in biostatistics from Johns Hopkins Bloomberg School of Public Health in the summer of 2014. Dr. Maas's research interests include absolute risk modeling for breast cancer subtypes and regression calibration methods that make use of information in published studies and cancer registries. She has also collaborated with fellow NIH researchers to study heterogeneity in the relationship between alcohol and the risk of various breast cancer subtypes.  

DCEG Publications (text and abstracts from our publications database)

Orestis Panagiotou, M.D., Ph.D. - Postdoctoral Fellow

Enlarge Orestis Panagiotou

Orestis Panagiotou, M.D., Ph.D., joined the Biostatistics Branch (BB) in January 2013. Originally from Ioannina, Greece, he completed his primary and secondary education in Greece and Germany. He graduated with an M.D. degree from the University of Ioannina School of Medicine in July 2009 and subsequently pursued his Ph.D. in genetic epidemiology there, with his thesis advisor Dr. John Ioannidis. Dr. Panagiotou's Ph.D. training, funded by the 7th Framework Program of the European Union, included several aspects of epidemiology, including genomic and molecular epidemiology, risk prediction, clinical trials and meta-analysis/meta-epidemiology. Currently, he is working under the mentorship of Sholom Wacholder, Ph.D., senior investigator, BB, on addressing methodological questions pertaining to the epidemiology of lung, cervical and liver cancers. Dr Panagiotou is open to collaborations with investigators from other DCEG branches on projects related to the genetic and molecular etiology of cancer as well as implementation of research findings into clinical practice.

DCEG Publications (text and abstracts from our publications database)

Minsun Song, Ph.D. - Postdoctoral Fellow

Minsun Song

Minsun Song, Ph.D., joined the Biostatistics Branch (BB) in June 2012 as a visiting fellow. Dr. Song received a B.S. and M.S. in statistics from Seoul National University and a Ph.D. in statistics from the University of Chicago. During her doctoral studies, she worked on statistical methods for testing gene-gene interaction under inequality constraints for both typed and untyped SNPs under the supervision of Prof. Dan Nicolae. After that, she worked as a postdoctoral research associate at the Lewis-Sigler Institute for Integrative Genomics at Princeton University. Her research at Princeton involved modeling and testing associations under the presence of arbitrary population structure. Dr. Song is now working under Nilanjan Chatterjee, Ph.D., Chief of BB, to develop statistical methodologies for a powerful test of goodness-of-fit under the logistic model framework and for test and inference of genetic and environmental effects for untyped SNPs in a two-stage framework, where in the first stage the missing values are imputed and then the tests are performed on the imputed values.

DCEG Publications (text and abstracts from our publications database)

Han Zhang, Ph.D. - Postdoctoral Fellow

Han Zhang

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. 

DCEG Publications (text and abstracts from our publications database) 

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Learn about current research training opportunities in the Biostatistics Branch