Sara Mostafavi
About
Sara Mostafavi is an Associate Professor at the Paul Allen School of Computer Science & Engineering at the University of Washington (UW). She is also a co-founder of the Machine Learning for Computational Biology (MLCB) Conference. Before joining UW, Mostafavi was an Assistant Professor at the Department of Statistics and the Department of Medical Genetics at University of British Columbia (UBC), and a faculty member at the Vector Institute. She was the recipient of a Canada Research Chair (CRC II) in Computational Biology (2015-2020), and a Canada CIFAR Chair in Artificial Intelligence (CIFAR-AI). Before UBC, Mostafavi did a postdoc at Stanford CS working with Daphne Koller. She got her Ph.D. in Computer Science from the University of Toronto in 2011, working with Quaid Morris. Her Ph.D. thesis developed machine learning methods for integrating large-scale genomics datasets to predict gene function.
Research Performance Summary
First Recorded Paper
A COMPREHENSIVE COMPUTATIONAL, FRAMEWORK
Year: 2006
Citations: 0
Venue: N/A
Latest Recorded Paper
Investigating Data Size, Sequence Diversity, and Model Complexity in MPRA-based Sequence-to-Function Prediction
Year: 2025
Citations: 0
Venue: bioRxiv, 2025.03. 11.642630
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.