Faculty
Faculty of the department have played major roles in important breakthroughs in medical research at Rochester. Examples include the better understanding of the role of calcium channel blockers in treating patients who have had a heart attack, demonstration of both the clinical effectiveness and the cost effectiveness of implantable defibrillators in reducing mortality among certain heart disease patients, demonstration of the effectiveness of deprenyl in slowing onset of disability in early Parkinson’s disease, demonstration of the benefit of surfactant therapy for respiratory distress syndrome in premature infants, demonstration of the benefits and risks of early surgical therapy for drug-resistant temporal lobe epilepsy, and an ongoing epidemiologic study of the assessment of the effects of low levels of dietary mercury intake on childhood development.
Faculty are currently involved in wide-ranging collaborative activity with the Environmental Health Sciences Center, the Cancer Center, the Center for Neurotherapeutics Discovery, the Center for Health and Technology, the Center for Oral Biology, the Clinical Cardiovascular Research Center, the School of Nursing, and the Departments of Medicine, Neurology, Public Health Sciences, Pediatrics, Psychiatry, Emergency Medicine, Obstetrics and Gynecology, Ophthalmology, Dentistry, and Biomedical Genetics. The department houses Biostatistics Centers for the Parkinson’s Study Group, Huntington’s Study Group, Muscle Study Group, Neuro-Ophthalmology Research Disease Investigator Consortium, and Tourette’s Syndrome Study Group and is responsible for the statistical analysis of many recent and ongoing multicenter clinical trials of new treatments for those diseases. This environment is ideally suited for collaborative research and consulting.
Methodologic and collaborative interests of our graduate research advisors are shown below.
Professors
Changyong Feng, PhD
University of Rochester
Interests
Multivariate survival analysis; empirical processes theory; longitudinal data analysis; statistical methods in epidemiology and clinical trials. Full Profile
Brent Johnson, PhD
North Carolina State University
Interests
Semi-parametric methods for missing data problems with specific applications to causal inference, survival and longitudinal data; dynamic treatment regimes in therapeutic HIV and AIDS studies, infusion trials, neurological and behavioral disorders; pattern analysis in HIV prevention; statistical methods for epidemiology. Full Profile of Brent Johnson, PhD
Michael McDermott, PhD
Ph.D. Program Director; ASA Fellow
University of Rochester
Interests
Order-restricted inference; receiver operating characteristic (ROC) curves and surfaces; methods for combining p-values; meta-analysis; missing data problems; clinical trials methodology; applications in neurological disease. Full Profile of Michael McDermott, PhD
David Oakes, PhD
ASA Fellow
London University
Interests
Survival analysis, including multivariate survival data and frailty models; semiparametric inference; clinical trials; applications in environmental medicine and neurological disease. Full Profile of David Oakes, PhD
Derick Peterson, PhD
University of California, Berkeley
Interests
Construction of prognostic gene expression profiles from high-dimensional microarray data; model selection; nonparametric estimation and inference; data-driven smoothing methods; analysis of censored survival data. Full Profile of Derick Peterson, PhD
Xing Qiu, PhD
University of Rochester
Interests
High-dimensional Omics data pre-processing, analyses, modeling, and integration; diffusion tensor imaging analysis; dynamic network analysis based on ordinary differential equations and state-space model; differential geometry and its applications to hypothesis testing procedures based on correlation/covariance. Full Profile of Xing Qiu, PhD
Robert Strawderman, ScD
Department Chair; ASA Fellow
Harvard University
Interests
Survival analysis; statistical inference for point process data (e.g., recurrent events); statistical methods for risk and outcome prediction in medicine, epidemiology and public health; statistical and computational methods for high dimensional data; statistical methods for evaluating the cost and quality of health care; asymptotics (theory and approximation); statistical computing. Full Profile of Robert Strawderman, ScD
Associate Professors
Anthony Almudevar, PhD
University of Toronto
Interests
Genetics and bioinformatics, especially in the area of graphical modelling, with applications to cellular networks and population biology; optimization and control theory, particularly in the area of Markov decision processes; analysis of technological motion data, particularly data collected from home monitoring systems. Full Profile of Anthony Almudevar, PhD
Christopher Beck, PhD
University of Rochester
Interests
Inference concerning receiver operating characteristic (ROC) curves and surfaces; change-point problems; clinical trials; applications in orthopedics and neurological disease. Full Profile
Ashkan Ertefaie, PhD
McGill University
Interests
Causal inference; dynamic treatment regimes; sequential multiple assignment randomized trials; comparative effectiveness studies using electronic health records; instrumental variable analyses; high-dimensional data analysis; post selection inference; survival analysis. Full Profile
of Christopher Beck, PhD
Iowa State University
Interests
Clustering and latent variable models; mixed membership models and model choice; normalization and preprocessing issues relating to gene expression and proteomics data; Bayesian models for QTLs and growth curves; hierarchical Bayesian models for gene expression data; scalable parallel model-based clustering. Full Profile of Tanzy Love, PhD
Matthew McCall, PhD
Ph.D. Program Associate Director
Johns Hopkins University
Interests
Statistical genomics; systems biology; bioinformatics; methods to estimate gene regulatory networks involved in cancer; within-subject genomic heterogeneity; methods for preprocessing and analysis of genomic data; effect of cellular composition on tissue-level gene expression. Full Profile of Matthew McCall, PhD
Sally Thurston, PhD
ASA Fellow
Harvard University
Interests
Modeling multiple outcomes; methods of correcting for measurement error bias; exposure assessment; non-parametric smoothing; Bayesian inference; informative prior specification; latent variable models; applications in environmental health. Full Profile of Sally Thurston, PhD
Tongtong Wu, PhD
M.A. Statistics Program Director
M.S. Biostatistics Program Director
University of California, Los Angeles
Interests
High-dimensional data analysis; survival analysis; machine learning; computational statistics; computational biology and statistical genetics; longitudinal data analysis. Full Profile of Tongtong Wu, PhD
Assistant Professors
of Ashkan Ertefaie, P
Andrew McDavid, PhD
University of Washington
Interests
Single cell gene expression; zero-inflated models; high dimensional estimation; convex optimization; applied Bayesian modeling; immunology; bioinformatics and computing. Full Profile
of Andrew McDavid, PhD
Samuel Norman-Haignere, PhD
Massachusetts Institute of Technology
Joining program in Spring 2022 - Dr. Norman-Haignere's research develops computational and experimental methods to understand the representation of complex, natural stimuli in the human brain and applies these methods to understand the neural and computational mechanisms that underlie human hearing. Learn More
of Ashkan Ertefaie, P
of Andrew McDavid, PhD
Michael Sohn, PhD
University of Arizona
Interests
Mediation analysis; causal inference; high-dimensional data analysis; statistical machine learning; compositional data analysis; multivariate data analysis; statistical genomics and metagenomics. Full Profile of Michael Sohn, PhD