Michael B. Sohn

Michael B. Sohn, PhD is an Assistant Professor at the University of Rochester's Department of Biostatistics and Computational Biology. He earned his Ph.D. in 2015 from the University of Arizona. His research focuses on high-dimensional data analysis, compositional data analysis, statistical machine learning, causal mediation analysis, and applications in genomics/metagenomics. His work spans microbiome studies, clinical trials, and infectious disease modeling.

Research interests include developing statistical methods for complex biological data, particularly in microbiome research and genomic applications. He has contributed to studies on bacteriophage communities in the female reproductive tract, antimicrobial efficacy in ocular infections, and lung transplant microbiota dynamics.

Key contributions include compositional mediation models for binary outcomes and GLM-based ordination methods for microbiome samples. His publications address topics ranging from mobile health interventions in oncology to metagenomic feature selection algorithms.

No scientific awards are explicitly listed in the provided text. His work integrates biostatistical methodologies with clinical and genomic datasets to address translational research questions.