Chair
Peihua Qiu
Peihua Qiu is a professor and the founding chair of the Department of Biostatistics at the University of Florida. He received his PhD in statistics from the Department of Statistics at the University of Wisconsin at Madison in 1996. He then worked as a senior research consulting statistician for the Biostatistics Center at the Ohio State University during 1996-1998, and as a faculty member of the School of Statistics at the University of Minnesota during 1998-2013. Qiu has made substantial contributions in the research areas of jump regression analysis, image processing, statistical process control, survival analysis, and disease screening and disease surveillance. So far, he has published two research monographs and over 125 research papers in refereed journals in these areas. He is an elected fellow of the American Statistical Association, an elected fellow of the Institute of Mathematical Statistics, and an elected member of the International Statistical Institute. He served as associate editor for a number of top statistical journals, including Journal of the American Statistical Association, Biometrics, and Technometrics. He was the editor of the flagship statistical journal Technometrics during 2014-2016.
-
Plenary Speaker2020 · The 10th International Conference andWorkshop on High-Dimensional Data Analysis
-
Plenary Speaker2019 · ISSAT International Conference on Data Science in Business, Finance and Industry, Da Nang, Vietnam
-
Dean's Citation Paper Award2019 · College of Public Health and Health Professions, University of Florida
-
One of 35 classic articles published in Technometrics during the past 60 years2018 · Technometrics
-
University Term Professor2018 · University of Florida
-
Plenary Speaker2017 · Stu Hunter Research Conference
-
Special Invited Speaker2017 · 2017 IISA International Conference
-
Dean's Citation Paper Award2016 · College of Public Health and Health Professions, University of Florida
-
Dean's Citation Paper Award2015 · College of Public Health and Health Professions, University of Florida
-
Mini-Plenary Speaker2015 · The South African Statistical Association's 57th Annual Conference
-
Keynote Speaker2013 · 2nd International Symposium on System Informatics and Engineering
-
Plenary Speaker2012 · 4th International Conference on Computational Intelligence and Software Engineering
-
Technometrics Invited Speaker with Discussions2012 · INFORMS Annual Meeting
-
Faculty Sabbatical Supplement Award2011-2012 · College of Liberal Arts, University of Minnesota
-
Plenary Speaker2011 · International Conference on Quality and Reliability Engineering
-
Plenary Speaker2011 · 5th WSEAS International Conference on Computer Engineering and Applications (CEA '11)
-
Plenary Speaker2010 · Annual Meeting of the German Statistical Society
-
Technometrics Invited Speaker with Discussions2010 · Joint Statistical Meetings (JSM)
-
Elected Fellow2010 · Institute of Mathematical Statistics
-
Elected Fellow2009 · American Statistical Association
-
Elected member2009 · International Statistical Institute
-
Special Invited Speaker2009 · Canadian Mathematical Society
-
Featured Article2008 · Industrial Engineering
-
Single Semester Leave Award2008 · College of Liberal Arts, University of Minnesota
-
Inaugural Ziegel Prize2007 · Technometrics
-
Faculty Sabbatical Supplement Award2004-2005 · College of Liberal Arts, University of Minnesota
-
Single Semester Leave Award2001 · College of Liberal Arts, University of Minnesota
-
Technometrics Invited Speaker2001 · 45th Annual Fall Technical Conference
-
Best Paper, 5th paper competition for young statisticians1991 · International Statistical Institute
-
UAP Mathematical Award1990 · Fudan University, China
- Longitudinal Data Analysis
- Disease screening
- Image processing
- Infectious disease surveillance
- Process monitoring
- Regression modeling
- Statistical methods
- Survival Analysis
- 2021 The journals of gerontology. Series A, Biological sciences and medical sciences
- 2020 Experimental gerontology
- 2020 Biometrical journal. Biometrische Zeitschrift
- 2020 American Statistician
- 2020 Cancer medicine
- 2019 Health psychology : official journal of the Division of Health Psychology, American Psychological Association
- 2019
- 2019 Statistics in medicine
- 2019 Hormones & cancer
- 2019 Statistics in medicine
- 2019 Journal of Statistical Computation and Simulation
- 2018 Iet Image Processing
- 2018 Statistics in medicine
- 2018 Journal of Quality Technology
- 2018 Journal of the National Cancer Institute
- 2018 Journal of Quality Technology
- 2018 Technometrics
- 2018 Statistica Sinica
- 2018 The Journal of surgical research
- 2018 Statistica Sinica
- 2018 Quality Engineering
- 2018
- 2018 Technometrics
- 2018 Technometrics
- 2018 Quality and Reliability Engineering International
- 2018 Obesity (Silver Spring, Md.)
- 2018 Technometrics
- 2018 Quality Engineering
- 2017 Pattern Recognition Letters
- 2017 Annals of internal medicine
- 2017 Annals of internal medicine
- 2017 Journal of Statistical Computation and Simulation
- 2017 Signal Image and Video Processing
- 2017 Quality and Reliability Engineering International
- 2016 Technometrics
- 2016 Biometrics
- 2016 Biometrics
- 2016 Iie Transactions
- 2016 Current HIV research
- 2015 Statistics in medicine
- 2015 Quality and Reliability Engineering International
- 2015 Biometrika
- 2015 Biometrics
- 2015 Journal of Computational and Graphical Statistics
- 2015 Statistica Sinica
- 2015 Journal of the American Statistical Association
- 2015 Annals of Applied Statistics
- 2014 Technometrics
- 2014 Statistics in medicine
- 2014 Technometrics
- 2014 Technometrics
- 2013 International Journal of Behavioral Development
- 2013 Statistics in Medicine
- 2013 Signal Processing
- 2013 Statistica Sinica
- 2013 Technometrics
- 2013
- 2012 Journal of Neuroscience Methods
- 2012 IEEE Transactions on Pattern Analysis and Machine Intelligence
- 2011 Statistics & Probability Letters
- 2011 IEEE Transactions on Pattern Analysis and Machine Intelligence
- 2011 Technometrics
- 2011 Technometrics
- 2010 Mathematical problems in engineering.
- 2010 Statistica Sinica
- 2010 Signal Processing
- 2010 Technometrics
- 2010 Technometrics
- 2009 Journal of Computational and Graphical Statistics
- 2009 Annals of Applied Statistics
- 2009
- 2009 Statistica Sinica
- 2009 Lifetime data analysis.
- 2009
- 2009 Annals of the Institute of Statistical Mathematics
- 2009 Technometrics
- 2009 Annals of Applied Statistics
- 2008
- 2008 Iie Transactions
- 2008
- 2008 Scandinavian Journal of Statistics
- 2007 Journal of Statistical Computation and Simulation
- 2007
- 2007 Annals of the Institute of Statistical Mathematics
- 2007
- 2007 Annals of Statistics
- 2007 Journal of Computational and Graphical Statistics
- 2007 Statistics in Medicine
- 2007 Statistica Sinica
- 2007 Journal of Computational and Graphical Statistics
- 2006 IEEE Transactions on Pattern Analysis and Machine Intelligence
- 2006
- 2005 Biometrika
- 2004 Technometrics
- 2003 Journal of Quality Technology
- 2003
- 2003 Journal of Nonparametric Statistics
- 2002 Journal of Computational and Graphical Statistics
- 2002 Australian & New Zealand journal of statistics
- 2002 Biometrical Journal
- 2001 Technometrics
- 2001 Journal of Statistical Computation and Simulation
- 2000 Statistics in Medicine
- 2000 Sankhya-Series A-Mathematical Statistics and Probability
- 1999 Investigative Ophthalmology & Visual Science
- 1999 Investigative Ophthalmology & Visual Science
- 1999 Biometrics
- 1998 Technometrics
- 1998 Annals of Statistics
- 1997 Sankhya-Series A-Mathematical Statistics and Probability
- 1996 Pattern Recognition Letters
- 1994
- 1993 Acta Mathematica Sinica-English Series
- 1993
- 1991
- 1991
- 1990
-
Jun 2020
ACTIVE
Intercollaborative Radiation Countermeasure Consortium (INTERACT Consortium) for advanced development of medical countermeasures (MCM) to mitigate/treat acute and delayed radiation syndromesUNIV OF MARYLAND · Co-Investigator
-
Sep 2019
ACTIVE
Nicotinamide riboside as an Enhancer of Exercise Therapy in hypertensive older adults: The NEET TrialNATL INST OF HLTH NIA · Co-Investigator
-
Aug 2019
ACTIVE
Longitudinal Modeling and Sequential Monitoring of Image Data StreamsNATL SCIENCE FOU · Principal Investigator
-
Jul 2019
ACTIVE
Evaluation of an Adaptive Intervention for Weight Loss MaintenanceNATL INST OF HLTH NIDDK · Co-Investigator
-
Sep 2018
ACTIVE
RadTox: Measuring Radiation Toxicity using Circulating DNADIACARTA · Co-Investigator
-
Sep 2017
–
May 2020
Equivalent Partial Correlation Methods for Integrative Genetic Network AnalysisPURDUE UNIV · Principal Investigator
-
Apr 2017
–
Mar 2018
STATISTICAL INFERENCE FOR BIOMEDICAL BIG DATA: THEORY, METHODS AND TOOLSNATL SCIENCE FOU · Co-Investigator
-
Apr 2017
ACTIVE
University of Florida Claude D. Pepper Older Americans Independence Center (OAIC)NATL INST OF HLTH NIA · Project Manager
-
Mar 2017
ACTIVE
Spoken Language in Adolescents with Hearing LossNATL INST OF HLTH NIDCD · Project Manager
-
Feb 2017
–
Feb 2021
FGF-P: A Multipotential Mitigation Agent for Gastrointestinal SyndromeNATL INST OF HLTH NIAID · Project Manager
-
Sep 2016
–
Aug 2019
Identification and Prediction of High-Risk Periods for Regain After Weight LossNATL INST OF HLTH NIDDK · Co-Investigator
-
Sep 2015
–
Sep 2017
Equivalent Partial Correlation Methods for Integrative Genetic Network AnalysisNATL INST OF HLTH NIGMS · Project Manager
-
Aug 2014
–
Jul 2018
New Methods for Sequential Monitoring of Longitudinal PatternsNATL SCIENCE FOU · Principal Investigator
-
Jul 2014
–
Jun 2016
IPA for Samuel WuUS DEPT OF VETERANS AFFAIRS · Principal Investigator
-
Jun 2014
–
May 2016
IPA for Baiming ZouUS DEPT OF VETERANS AFFAIRS · Principal Investigator
-
Oct 2013
–
Sep 2017
IPA for Samuel WuUS DEPT OF VETERANS AFFAIRS · Principal Investigator
-
Dec 2011
–
Nov 2015
Associations between Ambient Air Pollution and Adverse Outcomes in FloridaNATL INST OF HLTH NIEHS · Project Manager
-
1993-1996
PhD in Statistics/BiostatisticsUniversity of Wisconsin-Madison
-
1992-1993
MS in StatisticsUniversity of Georgia
-
1986-1989
MS in StatisticsFudan University, China
-
1982-1986
BS in MathematicsFudan University, China
Core faculty
Rhonda L Bacher
Jason O Brant
Babette Brumback
Babette Brumback, Ph.D., is Professor and Associate Chair of the Department of Biostatistics at the University of Florida. Her statistical research has concentrated on methods for longitudinal data analysis, causal modeling, bias adjustment, and analysis of data from complex sampling designs. She has also collaborated extensively on public health and medical studies concerning a broad array of research areas. Her professional activities include serving in 2014-2016 as Chair Elect, Chair, and Past Chair of the American Statistical Association Section on Statistics in Epidemiology, serving in 2015—2016 as President of the Florida Chapter of the American Statistical Association, serving from 2011-2015 as a member of the National Institutes of Health Study Section on Clinical and Integrative Cardiovascular Sciences, and serving in 2016-2017 on an Advisory Panel for the MMS Program of the National Science Foundation. She has also served as Associate Editor of Biometrics and as Statistical Editor of Psychosomatic Medicine. Dr. Brumback received her PhD in Statistics from the University of California, Berkeley in 1996, followed by postdoctoral training in Biostatistics and Epidemiology at the Harvard School of Public Health from 1996-1999. She is an elected member of Delta Omega and a Fellow of the American Statistical Association.
Somnath Datta
Somnath Datta received his undergraduate and master’s degrees in statistics from Indian Statistical Institute followed by a doctoral degree in Statistics and Probability from Michigan State University. He joined the Department of Biostatistics at University of Florida as a tenured full professor in July of 2015 under the preeminence initiative. Prior to that, he was Professor in the Statistics department at the University of Georgia and in the Bioinformatics & Biostatistics department at the University of Louisville. Over the years, he has published over one hundred and sixty research papers in various peer reviewed Statistics & Biostatistics journals. He develops novel statistical methods for analyzing public health, dental and biomedical data. His collaborative research interests include bioinformatics, spinal cord injury research, plant pathology and informatics based materials science research. His research projects have been supported by grants from the US National Institutes of Health, the National Science Foundation, and the National Security Agency. He is Elected Member of International Statistical Institute, Elected Fellow of American Statistical Association, and Elected Fellow of Institute of Mathematical Statistics. He has served as a director of over 20 doctoral dissertation committees.
Susmita Datta
Professional Biography Susmita Datta has received her PhD degree in Statistics from the University of Georgia, Athens, Georgia, USA followed by a postdoctoral training in Biostatistics from the Emory University. She has joined the Department of Biostatistics at the University of Florida in 2015 with a Preeminent hire as a tenured Full Professor. Prior to that, she was a Distinguished Scholar and a Tenured Full Professor at the University of Louisville and at the Georgia State University as a tenured Associate Professor. She is a fellow of the American Statistical Association (ASA), an elected member of the International Statistical Institute (ISI), and fellow of the American Association for the Advancement of Science (AAAS). She is one of the three elected members of the International Indian Statistical Association (IISA), elected RECOMB member of ENAR of Biometric Society and was the elected President of Cacus for Women in Statistics in 2013. Her research area includes Biostatistics and Bioinformatics/Computational Biology. Her research contributions spans all ‘omics’ related high dimensional data such as RNA-sequencing, Single Cell RNA sequencing and mass spectrometry data for proteiomics, lipidomics, metabolomics and good old microarray data. In addition to that, her computing laboratory is involved in methodological and software development in clustering and classification techniques, statistical issues in population biology, systems biology, survival analysis, multi-state models and big data analytics. She has published a book on “Statistical Analysis of Proteomics, Metabolomics, and Lipidomics Data Using Mass Spectrometry” by Springer. Dr. Datta is widely (>100) published in peer reviewed journals. The National Science Foundation and the National Institutes of Health have continuously funded her work. Her constant involvement with Big and fat data made her interested in Data science. She has guided more than 47 students through their theses and dissertations. She promotes women in STEM fields.
Natalie E Dean
Natalie Dean is a tenure-track Assistant Professor in the Department of Biostatistics. She is affiliate faculty in the Emerging Pathogens Institute. She is a member of the Center for Inference and Dynamics of Infectious Diseases.
Jonathan Fischer
Jonathan Fischer is a Clinical Assistant Professor in the Department of Biostatistics. He has experience teaching undergraduate and graduate students in probability, statistics, data science, and computational biology. His research interests generally lie in the development and application of methods for use with high-throughput sequencing data, particularly the transcriptomic variety. Dr. Fischer earned his PhD in Statistics in 2018 from the University of California, Berkeley, and received a BS in Physics and Mathematics from the College of William & Mary in 2013.
Steven J Foti
Steven Foti is a Clinical Assistant Professor in the Department of Biostatistics and the Director of the Online MS Program. He received his PhD in Statistics Education in 2017 and his MS in Statistics in 2013, both from the University of Florida. Steven is originally from New York where he earned his BS in Applied Mathematics and Statistics and Physics from Clarkson University. He teaches Biostatistics courses to both undergraduate and graduate students in public health and medicine. His experience and interests are in statistics education, statistical literacy, and assessment.
Subharup Guha
Zhiguang Huo
I am an assistant professor in Department of Biostatistics, University of Florida. In terms of statistical methodology development, I am interested in omics data integration, high-dimensional data, Bayesian methods, and optimization. In terms of genetic epidemiology, I am interested in Alzheimer’s disease, type 2 diabetes, and cardiovascular disease. In terms of collaborative research, I am interested in bioinformatics, genomic data applications.
John A Kairalla
John Kairalla is a Research Associate Professor and Associate Program Director of the Children’s Oncology Group, Statistics and Data Center-Gainesville in the Department of Biostatistics at the University of Florida. He received his PhD in Biostatistics from the University of North Carolina at Chapel Hill. His current research focus is in clinical trial design, development, monitoring, and analysis with applications in childhood cancer research with a focus on late phase pediatric Acute Lymphoblastic Leukemia (ALL) trials.
Ji-Hyun Lee
Dr. Ji-Hyun Lee is a Professor of Biostatistics at the Department of Biostatistics in the University of Florida as well as Director of the Division of Quantitative Sciences at the University of Florida Health Cancer Center (UFHCC). Her responsibility at the UFHCC is to provide strategic leadership and administrative direction for the integrated and rigorous research for the Cancer Center scientists. Dr. Lee earned her master’s degree and doctorate in Biostatistics from the University of North Carolina at Chapel Hill. Her research focuses on design and conduct of clinical trials, cluster/group randomized trials, methods for repeated measurements, Bayesian approach, and Best Statistical practices. She has authored over 145 peer-reviewed articles, particularly focused on therapeutic cancer research, social behavior intervention development, and population sciences in the health disparity field. As a lead statistician, she has served on or directed several Biostatistical Cores in large programmatic grants including SPORE, P30, and P50. Dr. Lee is an elected American Statistical Association (ASA) Fellow and a certified professional statistician through the ASA (PStat®). She serves the scientific review and monitoring committee for the UFHCC.
Zhigang Li
Dr. Zhigang Li is an associated professor in the Department of Biostatistics at University of Florida. He joined the department as an associate professor in 2018 under the preeminence initiative. His research interests include microbiome data analysis, mediation analysis, causal inference, high-dimensional data analysis, longitudinal data analysis, survival analysis, joint modeling of longitudinal data and survival in palliative care research. Dr. Li has been PI of multiple NIH grants including his ongoing R01 project “Mediation analysis methods for modeling human microbiome mediating disease-leading causal pathways in children”. Dr. Li loves collaboration with colleagues. He has many years of experience on collaborating with epidemiologists, children’s health experts, environmental health scientists, pediatricians, palliative care researchers, cancer researchers, psychologists, physicians, engineers, neurologists, radiologists, etc.
Ira M Longini, Jr
Xiangyang Lou
Dr. Lou is a Research Professor in the Department of Biostatistics, the University of Florida and an Adjunct Professor in the Department of Mathematics and Statistics, the University of Arkansas at Little Rock. Dr. Lou earned his Ph.D. in of Statistical Genetics and Bioinformatics from Zhejiang University, China, in 1997. And then he was recruited as an Assistant Professor at Zhejiang University. He came to the U.S. for pursuing postdoctoral training in the Department of Statistics, the University of Florida, in 2002. He was an Assistant Professor at the University of Virginia, an Associate Professor at the University of Alabama at Birmingham, Tulane University, and the University of Arkansas for Medical Sciences, and a Professor at the University of Arkansas for Medical Sciences.
Qing Lu
Dr. Lu’s research interests are primarily in statistical genetics and statistical learning. One area of research is to develop statistical learning methods (e.g., tree and deep learning) for designing and evaluating risk prediction models. In parallel with statistical learning research, he is also interested in developing and applying new statistical methods (e.g., U-statistic) for genetic association analysis and risk prediction analysis. In addition to developing new statistical methods and software, he collaborates with other researchers to investigate various biomedical and public health research questions.
Arlene H Naranjo
Dr. Arlene Naranjo is a Research Associate Professor in the Department of Biostatistics and Associate Program Director of the Children’s Oncology Group (COG) Statistics & Data Center (SDC) at the University of Florida. As lead statistician for neuroblastoma with the COG SDC, Dr. Naranjo is responsible for designing future studies, performing sample size and power calculations, monitoring open studies, and analyzing results from pediatric clinical trials. Her research interests include clinical trials design & analysis, survival analysis, longitudinal data analysis, and hierarchical linear models. Dr. Naranjo helped develop and currently co-teaches the graduate-level course Design and Conduct of Clinical Trials.
Robert L Parker
Robert Parker is a Clinical Assistant Professor in the Department of Biostatistic. He received his PHD in Statistics in 2017 from the University of Florida, his MS in Mathematics from Mississippi State University in 2012, and his BS in Mathematics from Millsaps College. Robert teach Biostatistics courses to both undergraduate and graduate students in public health and medicine. His research interests lie mainly in the areas of probability theory, Bayesian methods, and statistical methods for analyzing non-Euclidean data.
Qinglin Pei
My research interests include clinical trials design & analysis, survival analysis, machine learning and Bayesian methodology. I am current the leader statistician for Hodgkin Lymphoma committee in Children’s Oncology Group (COG) Statistics & Data Center (SDC) at the University of Florida.
Arkaprava Roy
I am an assistant professor in Department of Biostatistics, University of Florida after my tenure as Postdoctoral associate at Duke University. My primary focus is on data science and in developing innovative statistical modeling frameworks and corresponding inference methodology motivated by complex applications with strong theoretical support. I received my PhD from NC State.
I am interested to develop cool statistical methods with substantial theoretical support in non-parametric/High dimensional modeling, Machine learning, manifold learning, graphical modeling, complex structure learning motivated by a variety of applications for example brain imaging, nutritional epidemiology, genomics, image precessing, time-series analysis etc, please feel free to contact me. Since most of my works are in Bayes paradigm, it is also often of great interest to develop flexible prior distributions to study complex spaces with theoretical support and develop computational algorithms that are scalable and highly efficient.
Shu Wang
Samuel S Wu
Dr. Wu is Professor and Associate Chair in the Department of Biostatistics at University of Florida. He obtained BS degree from Peking University in 1989, MS degree from Nankai University in 1992, and Ph.D. from Cornell University in 1998. Dr. Wu serves as Director of UF CTSI Research Design and Data Coordinating Center. He has served as Director of Biostatistics Core at the VA Rehabilitation Outcome Research Center (2002-2012), the VA Brain Rehabilitation Research Center (2002-2014) and the UF Claude D. Pepper Older American Independence Center (2013-2018).
Wei Xue
Dr. Wei Xue is a Research Assistant Professor with the biostatistics department with a shared research assignment. She is a valuable member of the Children’s Oncology Group (COG), the world’s largest NIH/NCI sponsored clinical trials organization devoted exclusively to childhood and adolescent cancer research. Dr. Xue is the lead statistician on Soft Tissue Sarcoma (STS) Committees. She provides statistical support in all aspects of COG clinical trials in STS area by developing protocols, monitoring ongoing trials, conducting statistical analysis, and reporting and uploading research documents. Additionally, she is a member of the Biostatistics, Epidemiology and Research Design (BERD) group. A team of researchers who provide a central location for investigators to seek research design and analysis support through the UF Clinical and Translational science Institute (CTSI).
Yang Yang
Courtesy faculty

Nikolay A Bliznyuk

Michael J Daniels

Meenakshi Devidas

John Doss

Shiva P Gautam

Malay Ghosh

M E Halloran

Wendy B London

Eben Kenah

James Koopman

Sumithra Mandrekar
Lauren M McIntyre

George Michailidis
Emeritus faculty
