Pawel Gajer

Pawel Gajer is a Research Associate at the Institute for Genome Sciences and faculty member in the Department of Microbiology and Immunology at the University of Maryland School of Medicine. His work focuses on bioinformatics and microbiome research, particularly in vaginal bacterial communities and their impact on reproductive health.

• PhD in Mathematics (SUNY Stony Brook, 1993)
• Postdoctoral training in Computational Biology (Johns Hopkins University, 2000-2002)

His research develops statistical methods for analyzing genomic data, including community state types, temporal dynamics of vaginal microbiota, and connections between microbial structures and preterm delivery. He has pioneered spline and Taylor expansion mixed-effect models to study microbiome stability.

Recent publications highlight investigations into vaginal microbiota across pregnancy outcomes, bacterial vaginosis episodes, and infectious agents like Chlamydia caviae. His work intersects microbiology, computational biology, and clinical research.

Collaborations with researchers such as Jacques Ravel and Larry Forney have led to key publications in journals like Science Translational Medicine and Microbiome. He contributes to methodological advancements in microbiome sequencing and data analysis.