Mostafavi Lab
University of British Columbia


We develop and apply machine learning and statistical methods to study the genomics of complex diseases, with a particular interest in psychiatric disorders. We are especially interested in developing models for combining association evidence across multiple types of genomic data, such as gene expression and genotype data, and modeling prior biological pathways and networks for disentangling spurious from meaningful correlations.

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About Sara Mostafavi:

I am 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. I am also a Canada Research Chair (CRC II) in Computational Biology, a Canada CIFAR Chair in Artificial Intelligence (CIFAR-AI), and a CIFAR fellow in the Child and Brain Development program. Before arriving at UBC, I did my postdoctoral fellowship with Daphne Koller at Stanford University. I got my PhD in Computer Science from the University of Toronto in 2011, working with Quaid Morris. My PhD thesis was on integrating large-scale genomics and proteomics datasets to predict gene function. Check out GeneMANIA to find out more about this project!

You can find my CV here and my google scholar page here.