Sheida Nabavi received the master's degree in medical science focused on bioinformatics, and the PhD degree from the Electrical and Computer Engineering Department, Carnegie Mellon University. She is an assistant professor with the Department of Computer Science and Engineering and the Institute for Systems Genomics, University of Connecticut. Then, she joined the Center for Biomedical Informatics at Harvard Medical School (HMS) as an NIH funded research fellow. The focus of her research is on the development of novel computational methods and algorithms, based on advanced statistical machine learning and signal/image processing techniques, to analyze and integrate high-throughput sequencing data for identifying genomic/epigenetic features associated with different phenotypes, especially cancer.