Her research is at the intersection of genomics, molecular biology, and statistical inference, with emphasis on probabilistic modeling and methods development for analysis of transcriptomic data in the context of RNA structure, co-transcriptional, and post-transcriptional dynamics. Dr. Aviran pursued her Ph.D. in Electrical Engineering at UCSD, specializing in Signal Processing and Information Theory, and switched fields to Computational Biology for her postdoctoral studies at UC Berkeley, where she worked with Adam Arkin and Lior Pachter. She was awarded the 2006 Sheldon Schultz Prize for Excellence in Graduate Student Research, Calit2 graduate and Celera/TCS postdoctoral fellowships and the NIH/NHGRI K99/R00 Pathway to Independence Award for her research on computational methodology for RNA genomics.