Kimberly Insigne
About Kimberly Insigne
Kimberly Insigne is a Computational Biologist at Dyno Therapeutics in Watertown, Massachusetts, with a background in data science and bioinformatics.
Company
Kimberly Insigne is currently employed at Dyno Therapeutics, located in Watertown, Massachusetts, United States. At Dyno Therapeutics, she works as a Computational Biologist where she is involved in standardizing, scaling, and improving the workflows of other scientists.
Professional Title
Kimberly Insigne holds the title of Computational Biologist at Dyno Therapeutics. In this role, she develops automated analysis pipelines for next-generation sequencing and focuses on enhancing the efficiency of scientific workflows.
Previous Experience at Tradesy and FabFitFun
Before joining Dyno Therapeutics, Kimberly Insigne worked in the e-commerce sector as a Senior Data Scientist. She served at Tradesy for 10 months in 2022, and at FabFitFun from 2019 to 2022. During her three years at FabFitFun, she was instrumental in data science initiatives which supported the company's business objectives.
Academic Background
Kimberly Insigne achieved her Doctor of Philosophy (Ph.D.) in Bioinformatics from UCLA, where she studied from 2014 to 2019. Her research focused on learning sequence-function relationships from massively parallel reporter assays. Prior to her Ph.D., she earned her Bachelor's Degree in Bioinformatics from UC San Diego, which she completed between 2010 and 2014.
Research Positions
Kimberly Insigne has an extensive research background. She worked as a Graduate Student Researcher at UCLA's Kosuri Lab from 2014 to 2019. Before that, she served as a Research Assistant at the Lusis Laboratory, UCLA Department of Human Genetics, from 2013 to 2014. Earlier in her career, she held Research Assistant positions at McCammon Group, UCSD Department of Chemistry, and Abagyan Laboratory, UCSD Skaggs School of Pharmacy.