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Pam Russell has a diverse work experience in the field of computational biology and bioinformatics. Pam has held roles in various companies and research institutions. Pam'smost recent position was as a Principal Scientist at Generate Biomedicines, starting in 2022. Prior to that, they worked as a Principal Bioinformatics Engineer at Fulcrum Genomics LLC from 2021 to 2022.

From 2019 to 2021, Pam was a Senior Scientist II at Inscripta, Inc., where they focused on developing Python software and open-source libraries for genomic feature arithmetic. Pam also contributed to large-scale code refactoring.

Before joining Inscripta, they worked at the Colorado School of Public Health as a Research Instructor from 2016 to 2019. During this time, they led computational biology research projects, published bioinformatics tools, and conducted the first large-scale analysis of bioinformatics source code and developer practices.

Prior to that, Pam served as a Senior Professional Research Assistant at the University of Colorado Anschutz Medical Campus from 2014 to 2016. Pam collaborated on published research in genetics, genomics, and molecular biology, while also developing computational methods and tools.

Pam'searlier experience includes working as a Computational Biologist at the California Institute of Technology from 2013 to 2014, where they developed computational methods and tools for projects related to non-coding RNA interactions. Pam also worked at the Broad Institute from 2008 to 2013 as an Associate Computational Biologist, supporting RNA interaction studies and vertebrate genome projects.

Pam's career began with a role as a Financial Analyst at FSG from 2007 to 2008, where they developed processes and tools for a membership organization. Pam also worked as a Graduate Teaching Assistant at UC San Diego from 2005 to 2007, conducting teaching sessions and grading assignments for calculus and linear algebra courses.

Lastly, they gained research experience as a Research Experience for Undergraduates participant at Oregon State University in 2004, focusing on error-correcting codes on graphs.

Overall, Pam Russell has a strong background in computational biology and bioinformatics, with extensive experience in software development, research, and project leadership.

Pam Russell holds a Master of Arts (M.A.) degree in Applied Mathematics from UC San Diego, which they completed from 2005 to 2007. Prior to that, they obtained another Master of Arts (M.A.) degree in Mathematics from the University of Pennsylvania, where they also earned their Bachelor of Arts (B.A.) degree in Mathematics from 2001 to 2005. Additionally, they have several certifications in various programming languages and data analysis techniques, which they obtained through Coursera between 2016 and 2018.