Dr. Hutson is Chair of the Biostatistics and Bioinformatics Department at Roswell Park Comprehensive Cancer Center. 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 Comprehensive Cancer Center, 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 Roswell Park. 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. Some of Dr. Hutson’s other relevant experience includes his role as a MPI in the NRG cancer cooperative group. Dr. Hutson is the contact MPI of the Cancer Moonshot U24 Immuno-Oncology Translation Network (IOTN) Data Management and Resource-Sharing Center grant. He is also PI of an ovarian SPORE Biostatistics and Medical Informatics core and PI of the PDT P01 Biostatistics core. He has over 250 publications across statistics, biostatistics and medical research domains. He has expertise in computationally intensive statistical methods and clinical trials design and analysis. Dr. Hutson is Chair of the IOTN Steering Committee.
Dr. Attwood is an Assistant Professor of Oncology in the Department of Biostatistics and Bioinformatics at RPCI, and Associate Director of the Biostatistics & Statistical Genomics 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 & Statistical Gemomics 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. 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 the Biostatistics & Statistical Genomics 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 and Bioinformatics at Roswell Park in 2009 and serves as Senior Biostatistician. Her primary responsibility is to collaborate with clinicians and scientists at Roswell Park, 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.
Emily Schiller, MS
Phone: 716-845-1300 x6502
Ms. Schiller joined the Department of Biostatistics and Bioinformatics at Roswell Park in 2015, where she focused on statistical research of ovarian cancer, before focusing on statistical genetics. She has an MS in Biostatistics and Bioinformatics from Roswell Park and the University of Buffalo. 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 serves as a Senior Biostatistician. Her primary responsibility is to provide statistical support to Roswell Park 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 Roswell Park Department of Biostatistics and Bioinformatics in 2013 and serves as Senior Biostatistician. Her primary responsibility is to collaborate with clinicians and scientists at Roswell Park, 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 Roswell Park, 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 and Statistical Genomics Shared Resource is supported by statisticians in the CTDD, including Virginia Filiaci PhD, Austin Miller 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 and Statistical Genomics 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.