Dr. Hutson is Chair of the Biostatistics and Bioinformatics Department at RPCI. He received his B.A. (1988) and M.A. (1990) in Statistics from the State University of New York (SUNY) at Buffalo. He then worked for Otsuka America Pharmaceuticals for two years as a biostatistician. Dr. Hutson then received his M.A. (1993) and Ph.D. (1996) in Statistics from the University of Rochester. His Ph.D. advisor was Professor Govind Mudholkar, a world-renown researcher in Statistics and Biostatistics. Dr. Hutson was hired as a biostatistician at the University of Florida in 1996 as a Research Assistant Professor and worked his way to a tenured Associate Professor. He had several roles at the University of Florida including Interim Director of the Division of Biostatistics and Director of the General Clinical Research Informatics Core. Dr. Hutson moved to the University at Buffalo in 2002 as an Associate Professor and Chief of the Division of Biostatistics. He was the founding chair of the new Department of Biostatistics in 2003 and became a full professor in 2007. Dr. Hutson’s accomplishments as Chair included the implementation of several new undergraduate and graduate degree programs and a substantial growth in the size and quality of the department faculty and students. In 2005 Dr. Hutson also became Chair of Biostatistics (now Biostatistics and Bioinformatics) at Roswell Park Cancer Institute (RPCI), was appointed to Professor of Oncology and was also the Director of the CCSG Biostatistics Core. Dr. Hutson helped implement the new Bioinformatics Core at RPCI. Dr. Hutson is currently Chair of Biostatistics and Bioinformatics at Roswell Park Cancer Institute (RPCI). Dr. Hutson is a Fellow of the American Statistical Association. He is Associate Editor of Communications in Statistics, Associate Editor of the Sri Lankan Journal of Applied Statistics and is a New York State NYSTAR Distinguished Professor. Dr. Hutson has membership on several data safety and monitoring boards and has served on several high level scientific review panels. He has over 200 peer reviewed publications. In 2013, Dr. Hutson was inducted into the Delta Omega Public Health Honor Society, Gamma Lambda Chapter. Dr. Hutson’s methodological work focuses on nonparametric methods for biostatistical applications as it pertains to statistical functionals. He has several years of experience in the design and analysis of clinical trials.
Dr. Miller has an MS in Industrial Administration from Carnegie-Mellon University, and MA and PhD degrees in Biostatistics from UB. He joined the RPCI Department of Biostatistics & Bioinformatics faculty in 2009. He has designed, reviewed and analyzed many controlled and observational studies for various disease settings and outcomes. He regularly works with immunohistochemistry and immunocytochemistry investigators to identify new targeted treatment approaches, as well as on observational and epidemiological studies related to health behaviour and cancer prevention. He also works with NRG Oncology on the design, management and analysis of clinical and epidemiological trials. He has been an Assistant Research Professor in the UB Department of Biostatistics since 2009, where he teaches graduate-level courses in statistical theory and modeling. He is a member of the RPCI Scientific Review Committee and the Uterine Task Force of the Gynecologic Cancer Steering Committee of the NCI and is a member of the American Statistical Association.
Dr. Attwood is an Assistant Professor of Oncology in the Department of Biostatistics and Bioinformatics at RPCI, and Associate Director of the Biostatistics Shared Resource. He received his B.S. (2005) in Applied Mathematics from the University of Rhode Island, and received his M.S. (2006) in Industrial Engineering and M.A. (2009) and Ph.D. (2012) in Biostatistics from the University at Buffalo. Dr. Attwood came to the Department of Biostatistics and Bioinformatics at RPCI in 2011 as a Senior Biostatistician, and later became a faculty member in 2012 and the Associate Director of the Biostatistics Shared Resource in 2016. His primary research interests include development of statistical methodologies and study designs for diagnostic/prognostic biomarker development, nonparametric testing, and statistical education. His collaborative experiences range from preclinical and translational research studies, phase I-II clinical trials, to large-scale national database projects. He has served as the biostatistician on many clinical studies at RPCI, and has been a reviewer for several journals (clinical and methodological) and grant review panels. Additionally, he serves on numerous scientific committees at RPCI, including the Scientific Review Committee and Experimental Therapeutics program.
Dr. Eng earned his PhD and MS in Statistics from the University of Wisconsin-Madison (UW) in 2011 and completed postdoctoral training in cancer genomics in the Computation and Informatics in Medicine and Biology program at UW from 2011-2013. Dr. Eng joined the faculty of the Department of Biostatistics & Bioinformatics at RPCI in 2013 as an Assistant Professor. Among other areas, he has experience in survival analysis and high-dimensional exploratory data analysis, especially in the context of cancer genetics and genomics; he has published lead author articles in statistics, genomics and genetics. Dr. Eng’s research is focused on statistical aspects of a genomic biomarker development pipeline: discovery, validation, translation, and eventually trials. Dr. Eng is a member of the American Statistical Association and International Biometric Society.
Dr. Grzesik joined the Department of Biostatistics & Bioinformatics in 2017 as a postdoctoral research affiliate in the Division of Biostatistical Engineering. She has a PhD in Statistics from the University of Rochester School of Medicine and Dentistry with an extensive collaboration record with clinicians. Her statistical interests are in nonparametric methods, smoothing techniques and data visualization. Her current efforts are focused on statistical analyses of TCR repertoires and PDX experiment design, aiding in manuscript and grant preparation and statistical method development.
Dr. He joined the Department of Biostatistics & Bioinformatics in 2016 as a postdoctoral research affiliate in the Division of Biostatistical Engineering. Dr. He's research interests compose of statistical analysis for high dimensional data and data visualization. Her current efforts focus on analysis of integrated miRNA and mRNA profiling to uncover regulatory mechanisms in cancer, and close collaboration with RPCI researchers in the validation of noval biomarkers for cancer immunotherapy. Dr. He earned her B.S. and M.S. in Microbiology at Nankai University and Institute of Microbiology in Chinese Academy of Sciences (CAS), Ph.D. from Shanghai Institute of Biochemistry and Cell biology in CAS, and M.A. in biostatistics from the University at Buffalo. Dr. He pursued her postdoctoral training in quantitative biology with a focus on gene transcription regulation by snRNA in mammalian cells in the Department of Molecular and Cell Biology at UC Berkeley. Dr. He has published 6 lead author peer-reviewed articles.
Dr. Lynch received her PhD in statistics from the Department of Biostatistics and Computational Biology at University of Rochester, and has focused her research in the application areas of cancer basic biology (especially genetics/genomics) and infectious disease (especially HIV). Her methodological work is in the areas of statistical modeling for high dimensional genetic/genomic data, functional data methods, Bayesian methods, and applications of clustering.
Dr. Tian joined the UB Biostatistics faculty as an Associate Professor in 2005. Prior to that, she served at the University of Florida (UF), Department of Biostatistics as a tenure-track assistant professor for four years, during which time she was supported 0.5 FTE through Shands Cancer Center at UF, where her responsibilities included protocol development, data analysis and analysis of microarray data. She also served as a member of Protocol Review and Resource Utilization Committee at Shands Cancer Center where she had sole responsibility of the statistical review of protocols. Dr. Tian’s expertise is in the design and analysis of clinical trials, especially group sequential design and longitudinal data analysis. Her recent research interests are on simulation-based small sample inference and receiver operation characteristic (ROC) analysis with genomic data. Dr. Tian has published extensively in statistical methodology (47 papers have been published or accepted in peer-reviewed, prestigious statistical journals), cancer research, and other collaborative areas. She is a member of the American Statistical Association and the International Biometric Society.
Dr. Wilding joined the faculty at the University at Buffalo (UB) as an Assistant Professor in 2003 and was promoted to Associate Professor in 2009. His responsibilities at UB have included serving as the Director of the Statistical Consulting Laboratory. He also serves as a co-investigator for several grants. As a Senior Member of the Graduate Faculty, Dr. Wilding teaches undergraduate and graduate level courses in Biostatistics and has chaired the committees for six PhD and 14 MA students.
He began his RPCI service in 2004. Dr. Wilding has served on numerous scientific committees, data safety and monitoring boards, and has served on internal review boards. Examples of currently funded grants that Dr. Wilding supports include P01s entitled “Prostate Cancer: Transition to Androgen Independence, Core B: ImmunoAnalysis and Tumor Management” and “PDT- Mechanisms and Strategies for Optimization.”
Dr. Wilding has over 180 papers published in or submitted to peer-reviewed clinical and statistical journals, and has presented his work at a number of conferences. He is skilled in a vast array of statistical analysis techniques and computer programming languages. His biostatistical interests are in the areas of clinical trials, computationally intensive methods, and tests for and measures of independence. He is a reviewer for several statistical and clinical journals and is a member of the American Statistical Association and International Biometric Society.
Dr. Zhu joined the faculty at RPCI in April of 2012 in the Department of Biostatistics & Bioinformaics as an Assistant Professor and was subsequently appointed Director of Statistical Genetics and Genomics. Dr. Zhu’s supports both theBiostatistics and the Bioinformatics Shared Resource. Examples of currently funded grants that Dr. Zhu supports include “Pharmacoepigenetics of Noncoding RNAs in Breast Cancer Chemotherapy” (CCR12225673), in which Dr. Zhu is a co-investigator with Song Yao, PhD (PS), and “Regulation of lactosaminyl gylcan biosynthesis in hematoietic cells” (5P01HL107146), in which Dr. Zhu is a co-investigator with Joseph Lau, PhD (CSBT).
Dr. Zhu has interdisciplinary training in biostatistics, bioinformatics, and human genetics, and has accumulated extensive collaborative experience with biologists and clinicians in genetic epidemiology studies utilizing genome-wide association (GWA) and next-generation sequencing (NGS). Dr. Zhu completed her postdoctoral training in statistical genetics at the Center for Human Genetic Variation at Duke University from 2010 to 2012. Prior to that, she received her PhD in Biochemistry (with specialty in Bioinformatics) and MA in Biostatistics from UB.
Her primary research interest is in developing statistically sound and computationally efficient methods to pinpoint the causal genetics and genomics data. Her areas of research include: 1) computational methods development for causal genetic variant identification, 2) statistical and bioinformatics analysis of genome, epigenome, and transcriptome data, and 3) pharmacogenomics, genetic testing, and personalized medicine. She has conducted a number of cutting-edge studies in dissecting genetic contributors to complex human traits.
Adrienne Groman, MS
Phone: 716-845-1300 x6274
Ms. Groman joined the Department of Biostatistics & Bioinformatics at RPCI in 2009 and serves as Senior Biostatistician. Her primary responsibility is to collaborate with clinicians and scientists at RPCI, providing statistical support for clinical trials, observational studies and large-scale national database analyses. Other responsibilities include reporting results to ClinicalTrials.gov. Her analytics career includes work with leading medical institutions (University of Rochester Medical Center & RPCI), serving as a visiting assistant professor, as well as engaging in statistical research with respected business organizations such as Discover Financial and Nielsen. She has experience with a wide variety of statistical methods, including, but not limited to, survival analysis, generalized estimating equations, and multinomial logistic regression. She has co-authored over 60 peer-reviewed journal publications and abstracts. Ms. Groman holds an MS in Applied Statistics from Oregon State University.
Kayla Morrell, MS
Ms. Morrell joined the Department of Biostatistics & Bioinformatics at RPCI in 2014 where she focused on statistical research of ovarian cancer, mainly survival analysis. She has an MS in Biostatistics & Bioinformatics from RPCI and UB. Her primary responsibility is to provide statistical support to RPCI researchers and clinicians while managing data for an RPCI ovarian cancer study. Other responsibilities include aiding in preparation of manuscripts and grant proposals.
Emily Schiller, MS
Phone: 716-845-1300 x6502
Ms. Schiller joined the Department of Biostatistics & Bioinformatics at RPCI in 2015, where she focused on statistical research of ovarian cancer, before focusing on statistical genetics. She has an MS in Biostatistics & Bioinformatics from RPCI and UB. She is aptly skilled in the R programming language and Linux. Her primary responsibility is to provide research support through data management, statistical efforts, and custom applications for interrogation and visualization of data. Other responsibilities include designing computer databases for research projects and aiding in the preparation of manuscripts, presentations, and grant proposals.
Ms. Tan joined the joined the Department of Biostatistics and Bioinformatics at RPCI in 2006 and now serves as a Senior Biostatistician. Her primary responsibility is to provide statistical support to RPCI researchers and collaborate with medical investigators on designing, monitoring, analyzing, and reporting study protocols. She has co-authored over 40 manuscripts and numerous abstracts. She possesses considerable expertise in providing statistical support to a variety of clinical trials and epidemiological projects. In addition, her responsibilities include providing SAS programming support for clinical trials and other studies. Ms. Tan has an MA in Biostatistics and a BS in Computer Science. She provides the in-house technical knowledge of the inner workings of the electronic data capture system in order to better facilitate the transition of data from Clinical Research Services (CRS) to Biostatistics.
Katy Wang, MA
Phone: 716-845-1300 x6269
Ms. Wang joined the RPCI Department of Biostatistics & Bioinformatics in 2013 and serves as Senior Biostatistician. Her primary responsibility is to collaborate with clinicians and scientists at RPCI, providing statistical support for retrospective clinical data analyses and protocol design. Ms. Wang has an MA in Biostatistics and a BS in Electrical Engineering. Before joining RPCI, she was a Biostatistician in the Department of Biostatistics at St. Jude’s Children’s Research Hospital and actively collaborated with researchers in various departments and programs focusing on pediatric cancer research. Benefiting from multidisciplinary education and intense working experience with cancer studies, she has co-authored over 15 manuscripts in her career.
Clinical Trials Development Division (CTDD):
The Biostatistics Shared Resource is supported by statisticians in the CTDD, including Virginia Filiaci PhD, Bill Brady PhD, Mark Brady PhD, Mike Sill PhD, Danielle Enserro PhD, Helen Huang MA, and Jim Kauderer MA. These Shared Resource members provide broad expertise in the design, management and analysis of clinical trials of every phase. This team has extensive experience in the Cooperative Group setting, including work on many trials that set the standard care for gynecologic cancer patients. Their depth of experience is evinced by authorship on hundreds of publications in the highest-tier medical journals.
Research Assistants, MS/MA
The Biostatistics Shared Resource currently has five Research Assistants (RAs). They are experienced data analysts with Master's degrees in Statistics or Biostatistics and are in the PhD program in Biostatistics at UB. In the past six years, these current or past RAs have contributed to more than 41 published manuscripts or abstracts.