معرفی
Yana Bromberg is a Professor at Emory University, leading the Bromberg Lab focused on computational biology and bioinformatics. Her research integrates artificial intelligence, machine learning, and genomic analyses to study protein structure, microbial ecosystems, and genetic variation effects. She holds a Ph.D. in Biomedical Informatics from Columbia University (2007), an M.Phil. in Biomedical Informatics (2004), and dual degrees in Biology and Computer Science from SUNY Stony Brook (2001).
Research interests include protein function prediction, microbiome functional analysis, computational interpretation of genetic variants, and AI-driven biological modeling. Her lab develops tools like PredictProtein and explores topics such as viral interplay (e.g., HPV and HIV), metagenomic enzymatic potential, and microbial pathway reconstruction.
Publications emphasize interdisciplinary approaches to precision medicine, with recent works on AI in biotechnology, cohort studies on viral interactions, and benchmarking computational methods for genome interpretation. Her work bridges computational methods with real-world applications in health and environment, including studies on vitamin A metabolism, snow microbiome functions, and pandemic preparedness strategies.
