School of Medicine
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Tze Leung Lai
Ray Lyman Wilbur Professor and Professor, by courtesy, of Biomedical Data Science
Current Research and Scholarly InterestsResearch interests include clinical trial design, cancer biostatistics, survival analysis, adaptation and sequential experimentation, change-point detection and segmentation, stochastic optimization, time series and inference on stochastic processes, hidden Markov models and genomic applications.
Philip W. Lavori
Professor of Biomedical Data Science, Emeritus
Current Research and Scholarly InterestsBiostatistics, clinical trials, longitudinal studies, casual inference from observational studies, genetic tissue banking, informed consent. Trial designs for dynamic (adaptive) treatment regimes, psychiatric research, cancer.
Laura C. Lazzeroni, Ph.D.
Professor (Research) of Psychiatry and Behavioral Sciences and, by courtesy, of Biomedical Data Science
Current Research and Scholarly InterestsStatistics/Data Science. I develop & apply models, methods & algorithms for complex data in medical science & biology. I am also interested in the interplay between fundamental statistical properties (e.g. variability, bias, p-values) & how scientists actually use & interpret data. My work in statistical genetics includes: the invention of Plaid bi-clustering for gene expression data; methods for twin, association, & family studies; multiple testing & estimation for high dimensional arrays.
Postdoctoral Scholar, Biomedical Data Sciences
BioMy research interests primarily lie in two parts: 1) understanding genetic architecture of complex diseases and traits, and 2) clinical implementation of human genetics discoveries, for example, pharmacogenomics. I received my Ph.D. degree in Genomics and Computational Biology from University of Pennsylvania. My dissertation focused on identifying complex trait or disease-associated genes via genomic regulation-informed gene-based analyses. I am now a postdoctoral fellow in the Klein Lab (PharmGKB group). I am currently working on the Pharmacogenomics Clinical Annotation Tool (PharmCAT), a one-stop bioinformatics tool that analyzes pharmacogenomics variants from genotypic datasets and generates reports with genotype-based prescribing recommendations to supports clinical pharmacogenomics implementations and treatment decisions.
Professor of Biomedical Data Science and, by courtesy, of Radiology (Molecular Imaging) and of Epidemiology and Population Health
Current Research and Scholarly InterestsBiostatistics, clinical trials, statistical evaluation of medical diagnostic tests, radiology, osteoporosis, meta-analysis, medical decision making