Sharon Aviran

Sharon Aviran is an Associate Professor at the University of California, Davis, affiliated with the Biomedical Engineering & Genome Center. Her research focuses on statistical learning, structural biology, and RNA biology, with particular emphasis on genomic data analysis and RNA design. She develops computational methods for RNA structure analysis and integrates multiomic data to address biomedical questions. Her work spans RNA-protein interactions, structural genomics, and applications in precision medicine.

Dr. Aviran's expertise includes RNA structure probing technologies like SHAPE-Seq and advanced algorithm development for data interpretation. Her contributions have advanced understanding of RNA functional elements, telomerase stability, and transcription termination mechanisms. She collaborates across disciplines to bridge computational methods with experimental biology, emphasizing translational applications in medicine and biotechnology.

Her research portfolio highlights innovation in bioinformatics tools (e.g., dStruct, PATTERNA) and methodological advancements for analyzing large-scale RNA datasets. She is actively involved in the Graduate Group in Biostatistics at UC Davis, contributing to training the next generation of quantitative biologists.