معرفی
Joshua Aaron Granek serves as an Assistant Professor in the Department of Biostatistics & Bioinformatics within Duke University's School of Medicine, where he is also affiliated with the Duke Center for Statistical Genetics and Genomics and instructs the Master of Biostatistics program. His academic base operates from Hock Plaza in Durham, North Carolina.
Dr. Granek earned his Ph.D. from Johns Hopkins University in 2006, establishing his foundation in quantitative biological sciences. His research program centers on microbial genomics with emphasis on host-microbe interactions involving bacteria, fungi, and viruses, particularly their interplay with the immune system. He pioneers methodological innovations in high-throughput sequencing and deep learning applications for microbiome analysis, spanning both single-microbe dynamics and complex community interactions.
Analysis of his publication record reveals strong thematic continuity in microbiome-host interactions across diverse contexts including obesity, viral pathogenesis, respiratory disease, and fungal biology. His work consistently bridges computational methodology with experimental validation, demonstrating particular strength in translating genomic data into biological insights through machine learning frameworks.
Dr. Granek directs substantial research funding from major federal agencies including the National Institutes of Health (NIMH, NIAID, NIDDK, NCI), National Science Foundation, and US-Israel Binational Science Foundation. His active grants address critical questions in prenatal microbiome-neurodevelopment links, HIV/AIDS quantitative methods, precision microbiome engineering, and fungal virulence mechanisms.
He contributes significantly to academic training through the NRT: Integrative Bioinformatics for Investigating and Engineering Microbiomes (IBIEM) program and teaches core biostatistics courses (BIOSTAT 703/703L) alongside specialized topics in civil environmental engineering. His laboratory operates within Duke's collaborative genomics ecosystem, focusing on developing open analytical tools for microbiome research.
