Shadi joined Talkowski’s lab in May 2022 as a computational scientist, where she works on the GATK-SV pipeline as well as computational studies on large-scale databases, such as the All of Us Research Program and gnomAD.
Shadi received her Ph.D. from the University of Texas at Dallas, school of engineering and computer science, in May 2022. During her Ph.D., she developed an open-source computational and mathematical framework for modeling membrane transporters and ion channels across the cell membrane. While pursuing her Ph.D., she collaborated with the Bleris Lab to apply machine learning approaches for identifying human blood cells harboring CRISPR-mediated fetal chromatin domain ablations.
In addition, during her Ph.D., she did an NSF-funded internship with the Broad Institute’s Methods Group (DSP), where she worked on gCNV (a tool for copy-number variation detection in genomics), under the supervision of Samuel Lee. In the summer of 2017, Shadi interned at the National Energy Laboratory on software development and big data analysis while pursuing her Master’s degree in Mechanical Engineering at the University of California, Merced. Additionally, she holds a B.S. in Chemical Engineering from the Amirkabir University of Technology (Tehran Polytechnic).