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Current Fellows in the Biostatistics Branch

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

Jordan Aron, B.A. – Postbaccalaureate Fellow

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.

Hyoyoung Choo-Wosoba, Ph.D. – Postdoctoral Fellow

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.

Scientific Publications - Hyoyoung Choo-Wosoba

Lu Deng, Ph.D. – Postdoctoral Fellow

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. - Research Fellow

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.

Scientific Publications - Andriy Derkach

Gregory Haber, Ph.D. - Postdoctoral Fellow

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.

Scientific Publications – Gregory Haber

Justin Yongli Han, Ph.D. - Postdoctoral Fellow

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.

Scientific Publications - Yongli Han

Do Hyun Kim, B.S. – Postbaccalaureate Fellow

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. – Postdoctoral Fellow

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.

Scientific Publications - Rebecca Landy

DongHyuk Lee, Ph.D. – Postdoctoral Fellow

DongHyuk Lee, Ph.D., joined the Biostatistics Branch (BB) as a postdoctoral fellow in October 2018. Dr. Lee completed his Ph.D. in statistics from the Department of Statistics at Texas A&M University in August 2018 under the supervision of Dr. Samiran Sinha. His dissertation research focused on developing statistical testing in the latent variable context and algorithms for computational aspects. Dr. Lee is working with Bin Zhu, Ph.D., investigator, BB, on statistical methods for analyzing mutational signatures in cancer research.

Soutrik Mandal, Ph.D. – Postdoctoral Fellow

Soutrik Mandal, Ph.D., joined the Biostatistics Branch (BB) as a postdoctoral fellow in September 2018. Dr. Mandal earned his Ph.D. in statistics from Texas A&M University. His doctoral dissertation focused on estimation and testing problems in the analysis of linear transformation models in the context of interval-censored time-to-event data with covariate measurement error. Dr. Mandal is currently working with mentors Ruth Pfeiffer, Ph.D., senior investigator, BB, and Jianxin Shi, Ph.D. , senior investigator, BB, to develop semiparametric methods for inferential problems in case-control studies with incident and prevalent cases.

 Scientific Publications - Soutrik Mandal

Ankur Patel, M.S. – Postbaccalaureate Fellow

Mr. Ankur Patel joined DCEG in November 2018. He is working jointly in the Biostatistics Branch (BB) and the Radiation Epidemiology Branch (REB). Mr. Patel received a B.S. in mathematics with a concentration in statistics from the University of Maryland, College Park in 2016, and an M.S. in statistics from the University of North Carolina, Chapel Hill in May 2018. Prior to finishing his master’s studies, Mr. Patel completed a summer internship at NIST, where he worked with Dr. John Liu in forensic footwear analysis. He is currently working with Mark Little, D.Phil., senior investigator, REB, and Paul S. Albert, Ph.D., Chief and senior investigator, BB, on several projects related to dosimetry and survival analysis. In particular, he is working on the U.S. Radiologic Technologists cohort study, using dose realizations from a Monte Carlo Dosimetry System to estimate exposure and how the estimated exposure along with other covariates affects the time until development of a cataract.

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.

Scientific Publications - Yei Eun Shin

Martin Skarzynski, Ph.D., M.P.H. – Postdoctoral Fellow

Martin Skarzynski, Ph.D., M.P.H., joined the Biostatistics Branch (BB) as a Cancer Prevention Fellow in November 2018.  He holds an M.P.H. in epidemiologic and biostatistical methods for public health and clinical research, and a certificate in data science from the Johns Hopkins Bloomberg School of Public Health.  He earned his Ph.D. in tumor biology from Georgetown University, an M.S. in biotechnology from Jagiellonian University in Poland, and a B.A. in biology from St. Mary’s College of Maryland. Dr. Skarzynski is passionate about bioinformatics, data science, epidemiology, and statistical computing. He uses the Python and R programming languages and command line tools to explore, analyze, visualize and present data, and he has a strong interest in reproducibility, scientific publishing workflows, and open data/science best practices. Dr. Skarzynski applies his computational skills in combination with his genomics and immunology background to the study and prevention of cancer. In DCEG, Dr. Skarzynski is working under the mentorship of Hormuzd Katki, Ph.D., senior investigator, BB. Outside of DCEG, Dr. Skarzynski is co-chair of the Bioinformatics and Data Science Department at the Foundation for the Advancement of Education in the Sciences (FAES), where he has been an instructor since 2015, and he currently teaches Introduction to Python. Dr. Skarzynski is also an instructor for Software and Data Carpentry, a non-profit organization that teaches computational skills.­

Lingxiao Wang, M.S. – Predoctoral Fellow

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.

Scientific Publications - Lingxiao Wang

Han Zhang, Ph.D. - Research Fellow

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.

Scientific Publications - Han Zhang