Population genetics inference using segments of identity by descent

Dr. Sharon Browning's expertise is population genetics methods for large scale genetic data. In this lecture, she will discuss "Population genetics inference using segments of identity by descent." Segments of identity by descent (IBD) are long tracts of DNA shared by pairs of individuals due to inheritance from a recent common ancestor. These segments are... Read more »

Data-Adaptive Regression Modeling in High Dimensions

Dr. Ashley Petersen's research focuses on developing methods in the area of statistical learning, and in building flexible and interpretable data-adaptive models that are useful in modern settings with large numbers of covariates. She develops methods for the analysis of calcium imaging data. As a member of the Biostatistics and Bioinformatics Core of the Masonic... Read more »

Spring PHield Trip to RTI

Explore public health in action! Join the virtual PHield trip with RTI International on Feb. 18 from 1-3:00 p.m. The event will feature a keynote on mobilizing global public health... Read more »

It is Never too Early to Think About Statistical Leadership

Dr. Richard Zink spent 17 years in and around medical product development at a real-world data company (Target RWE) where he led data management and statistics in the analysis and reporting of data derived from electronic medical records; a software company (SAS Institute) where he developed and supported platforms to analyze and visualize safety and... Read more »

Statistical methods for single-cell and spatial RNA-seq

Dr. Christina Kendziorski's research concerns statistical methods and software for computational biology and genomics. Her group develops statistical methods and software for the analysis of data from high-throughput genomics experiments and have considerable expertise in the experimental design and analysis of bulk RNA-seq studies and in single-cell RNA-seq. The group also uses high-throughput data from... Read more »

Identifying effector genes of human GWAS variants by INFIMA

Dr. Sunduz Keles will give a biostatistics talk titled "Identifying effector genes of human GWAS variants by INFIMA". The Keles Research Group is interested in statistical and computational genomics and develops statistical and computational data science methods for problems in high-dimensional genomic and biomedical data. The group will exploit, leverage and integrate high-throughput functional, genomic,... Read more »

Towards a unified methodology of study design and statistical analysis for causal inference in implementation science

Dr. Donna Spiegelman has a joint doctorate in biostatistics and epidemiology and her research is motivated by problems that arise in epidemiology and require biostatistical settlement; in part a focus on troubleshooting methods for study design and data analysis to reduce bias in estimation and inference due to measurement error or misclassification in the exposure... Read more »