Skip to main content
Explore URMC

SMD Logo

menu

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, and of surfactant therapy for respiratory distress syndrome in premature infants, 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.

Methodologic and collaborative interests of our graduate research advisors are shown below.

Professors

Robert Strawderman, ScD, Harvard University (Department Chair)Robert Strawderman, ScD

Harvard University (Department Chair)

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

Mike McDermottMichael McDermott, PhD

University of Rochester (Director, Ph.D. program)

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

David OakesDavid Oakes, PhD

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

Derick PetersonDerick 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

Associate Professors

Anthony AlmudevarAnthony 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

Christopher BeckChristopher 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

Changyong FengChangyong 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 A. Johnson, Ph.D.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

Tanzy LoveTanzy Love, 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

Xing QiuXing Qiu, PhD

University of Rochester

Interests

Computational biology, particularly microarray data analysis, intergene correlation structure, normalization procedures, and stability of various gene selection procedures; nonparametric inference; theory and applications of stochastic differential equations, especially in modeling infectious disease; information geometry and its application to hypothesis testing procedures based on correlation/covariance. Full Profile

Sally ThurstonSally Thurston, PhD

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

Tong Tong WuTongtong Wu, PhD

University of California, Los Angeles (Director, M.A. and M.S. programs)

Interests

High-dimensional data analysis; survival analysis; machine learning; computational statistics; computational biology and statistical genetics; longitudinal data analysis.  Full Profile

Assistant Professors

Ashkan ErtefaieAshkan 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

Matthew McCallMatthew McCall, PhD

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

Andrew McDavidAndrew 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

 

 

Michael SohnMichael 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

Zhengwu ZhangZhengwu Zhang, PhD

Florida State University

Interests

Statistical image analysis; statistical shape analysis; functional data analysis; Bayesian statistics; network analysis; computational neuroscience. Full Profile