Epidemiology and Biostatistics

Dr. Xiaoxiao Sun is an Assistant Professor in the Department of Epidemiology and Biostatistics at the Mel and Enid Zuckerman College of Public Health. His research focus is developing theoretically justifiable and computationally efficient methods for complex and big data arising in data-rich areas, such as medical imaging and genomics. His research interests include nonparametric modeling, computational biology, medical imaging analysis, and big data analytics. Dr. Sun earned his Ph.D. in Statistics from the University of Georgia in 2018, advised by Professor Ping Ma. Prior to receiving his Ph.D. degree, Dr. Sun obtained BS and MS in Statistics from the Central University of Finance and Economics in Beijing.

Dr. Leslie V. Farland is a reproductive epidemiologist in the Department of Epidemiology and Biostatistics at the Mel and Enid Zuckerman College of Public Health. She has training in biology (AB; University of Chicago) and reproductive epidemiology (MSc, ScD; Harvard T.H. Chan School of Public Health). Prior to joining the faculty at UofA, she was an Instructor in the Department of Obstetrics and Gynecology at Harvard Medical School and served as the Director of Epidemiologic Research at the Center for Infertility and Reproductive Surgery at Brigham and Women's Hospital. Her current research portfolio capitalizes on her training and focuses on three major themes: i) the intersection between women’s reproductive health and chronic disease risk, ii) etiology and risk factors for reproductive and gynecologic diseases and iii) disparities in infertility care and fertility treatment utilization.

I have a long-standing interest and experience in interdisciplinary research, including collaborations with basic scientists and clinicians from a variety of disciplines including biology, anthropology, psychiatry, oncology, pediatrics, and veterinary medicine. I am particularly interested in working on challenging methodological issues that arise in the statistical design and analysis of scientific studies. A formal affiliation with BIO5 would allow me additional opportunities to connect with the talented BIO5 researchers.

Bonnie LaFleur, PhD, is a Research Professor of Biostatistics at the University of Arizona BIO5 Institute. Dr. LaFleur’s scientific biography reflects her 20-year career as both a collaborative statistician and a scientific leader in precision medicine, specifically with respect to biomarker and interventional driven clinical trials. She has direct experience in defining short- and long-term strategies for optimal information-driven clinical decisions to improve patient outcomes. In addition to direct experience with regulatory submissions for FDA and EMA approved diagnostic tests, she has an extensive history in extramural funding support, both as Quantitative Core Director and leading Research Projects. Dr. LaFleur's research interests include developing and implementing advanced statistical techniques for biomarker discovery through translational science. Subject areas include cancer, aging, and methods leveraging observational study designs (health services and real-world evidence designs).

Kristen Pogreba Brown, Ph.D., M.P.H., is an assistant professor of epidemiology at the University of Arizona Mel and Enid Zuckerman College of Public Health. Prior to joining the faculty, Dr. Pogreba-Brown was an Epidemiologist with the College as the director of the Student Aid for Field Epidemiology Response (SAFER) team. In addition to continuing to oversee the SAFER program, her research projects are focused on foodborne diseases and improving methodology to respond to outbreak investigations. She is currently working on a project to identify the risk factors related to foodborne infection as well as the risk factors related to specific chronic outcomes following acute disease. She has recently initiated a One Health Program at the University to form collaborative research teams from across campus and develop a graduate level certificate program. She is also actively involved in public health preparedness activities, specifically for large events. Dr. Pogreba-Brown works with various county health departments in Arizona as well as the state health department to aid in outbreak investigations and serves on the state’s Foodborne Taskforce Committee.

Yann C. Klimentidis, PhD, is an Associate Professor in the Department of Epidemiology and Biostatistics in the Mel and Enid Zuckerman College of Public Health at the University of Arizona. His research centers on improving our understanding of the links between genetic variation, lifestyle factors, metabolic disease, and health disparities. In the past, he has used measures of genetic admixture and genomic tests of natural selection to understand the genetic basis of population differences in disease susceptibility. His most recent work examines the use various statistical approaches for the analysis of high-dimensional genetic data for improving prediction of genetic susceptibility to type-2 diabetes. In addition, his work examines gene-by-lifestyle interactions in type-2 diabetes, as well as understanding the causal links between metabolic traits such as dyslipidemia and type-2 diabetes. Keywords: Genetics, epidemiology, Cardiometabolic disease, Physical activity

Chengcheng Hu, Ph.D., is an Associate Professor, Public Health and Director, Biostatistics, Phoenix campus at the Mel and Enid Zuckerman College of Public Health, University of Arizona. He is also Director of the Biometry Core on the Chemoprevention of Skin Cancer Project at the University of Arizona Cancer Center. Hu has worked on multiple federal grants in a broad range of areas including cancer, occupational health, HIV/AIDS, and aging. In addition to extensive experience in collaborative research, he has conducted methodological research in the areas of survival analysis, longitudinal data, high-dimensional data, and measurement error. His current methodological interest, arising from studies of viral and human genetics and biomarkers, is to develop innovative methods to investigate the relationship between high-dimensional information and longitudinal outcomes or survival endpoints. Hu joined the UA Mel and Enid Zuckerman College of Public Health in 2008. Prior to this he was an assistant professor of Biostatistics at the Harvard School of Public Health from 2002 to 2008. While at Harvard, he also served as senior statistician in the Pediatric AIDS Clinical Trials Group (PACTG) and the International Maternal Pediatric Adolescent AIDS Clinical Trials Group (IMPAACT). Hu received his Ph.D. and M.S. in Biostatistics from the University of Washington and a M.A. in Mathematics from the Johns Hopkins University.

Zhao Chen, PhD, MPH, has been focused on epidemiologic research of women's health and aging-related health conditions. She has a wealth of experience in studying body composition assessments, breast cancer risk factors, fracture risk in cancer survivors, osteoporosis prevention, epidemiology of anemia, biomarker and genetic variations for chronic diseases and sarcopenia measurements among women and elderly from different ethnic backgrounds. She is a member of the Arizona Cancer Center, Arizona Center on Aging, Arizona Arthritis Center and BIO5. She is a funded researcher by the National Health Institute (NIH), and has served on numerous scientific study sections for the NIH and other funding agencies nationally and internationally. Dr. Chen also has an affiliated faculty appointment with the School of Anthropology.Her work with the U.S. Women's Health Initiative study has produced several significant research papers on epidemiologic methodology and osteoporosis risk factors in diverse populations. Her findings on increased fracture risk among breast cancer survivors have caught wide public attention, thus making a significant contribution to the prevention of fractures in the large number of breast cancer survivors. Her research on mammographic density as a proxy of breast cancer risk has provided direct evidences on significant associations between body composition, dietary intake, and mammographic density. The study findings on changes in body composition and hip structural geometry with intervention and aging have contributed to osteoporosis prevention and healthy aging research. Currently, she is leading investigations on longitudinal changes in bone strength and skeletal muscle loss associated with aging and hormone and calcium/vitamin D interventions. Her research on biomarkers and genetic variations for sarcopenia is supported by the National Institute of Aging/NIH. She has also received NIH funding to study anemia and its relationship with muscle loss, physical function, and mortality in Mexican American, Africa American, Native American, Asian, and Non-Hispanic white postmenopausal women. In the recent years, she has been working with several large worldwide consortiums on genome-wide association studies for sarcopenia and anemia.Besides teaching in classes, Dr. Chen has been providing research training opportunities to students especially minority students from underserved populations. Under her direction, graduate students in her laboratory are conducting research in many aspects of women's health and aging. Some examples of the research areas include arthritis and osteoporosis in women, anemia and cardiovascular diseases, physical functional assessments in the elderly, and relationship of growth factors with breast cancer risk. With the growing elderly population in the United States, osteoporosis, sarcopenia and anemia have become more significant public health problems. In responding to the community's needs, she frequently gives community health lectures and provides opportunities of health screening and education to publics. Dr. Chen is working on building a strong research and health promotion program to contribute to healthy aging in people from all ethnic backgrounds.

Dean Billheimer, PhD, works with the Arizona Statistics Consulting Laboratory (StatLab) to partner with scientists and physicians to advance discovery and understanding. The 'Stat Lab' provides statistical expertise, personnel and computing resources to facilitate study design and conduct, data acquisition protocols, data analysis, and the preparation of grants and manuscripts. Dr. Billheimer also works to adapt and develop new statistical methods to address emerging problems in science and medicine. Dr. Billheimer facilitates discovery translation and economic development by consulting with public and private organizations external to the University of Arizona. Keywords: Biostatistics, Bioinformatics, Study Design, Bayesian Analysis