Farzaneh Khajouei
About Farzaneh Khajouei
Farzaneh Khajouei is a Computational Scientist at the Broad Institute of MIT and Harvard, specializing in single cell genomics and gene expression modeling. She has an extensive academic background in Mathematics, Industrial & Systems Engineering, and Computer Science, with degrees from the University of Illinois at Urbana-Champaign and Sharif University of Technology.
Current Role at Broad Institute
Farzaneh Khajouei serves as a Computational Scientist at the Broad Institute of MIT and Harvard, a position she has held since 2020. Located in Cambridge, Massachusetts, she is part of the Data Science Platform. Her work involves applying computational techniques to biological data, specifically focusing on single cell genomics and gene expression modeling. Since joining the Broad Institute, she has contributed to various projects in the field of computational biology.
Previous Experience at University of Illinois
Prior to her current role, Farzaneh Khajouei worked at the University of Illinois at Urbana-Champaign as a Graduate Research Assistant from 2013 to 2019. During her time there, she gained valuable experience in research methodologies and computational techniques. Additionally, she completed a summer internship at The Elizabeth H. and James S. McDonnell Genome Institute in 2013, where she further developed her skills in genomics.
Educational Background
Farzaneh Khajouei has an extensive educational background in engineering and computer science. She earned a Bachelor of Science in Electrical, Electronics and Communications Engineering from Sharif University of Technology from 2006 to 2010. She then pursued a Master of Science in Industrial & Systems Engineering at the University of Illinois at Urbana-Champaign from 2010 to 2012, followed by a Master's degree in Mathematics from 2012 to 2014. She completed her Doctor of Philosophy in Computer Science at the same university from 2014 to 2019.
Research Focus and Contributions
Farzaneh Khajouei's research primarily focuses on single cell genomics and gene expression modeling within computational biology. Since joining the Broad Institute, she has been actively contributing to advancements in these areas. Her work aims to enhance the understanding of gene expression at the single-cell level, which is crucial for various applications in genomics and personalized medicine.