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Kimberly Insigne is a Computational Biologist at Dyno Therapeutics since January 2023, bringing a wealth of experience in data science and bioinformatics. Previously, Kimberly served as a Senior Data Scientist at Tradesy, where a new product pricing model was developed, and later worked on NLP projects following a merger. At FabFitFun, algorithms for personalized recommendations for subscription boxes were created, enhancing user experience. Kimberly's academic background includes a Ph.D. in Bioinformatics from UCLA, where research focused on bacterial sequence-function relationships and genomic variations affecting splicing. Additional research experience includes roles at Lusis Laboratory and McCammon Group, along with leadership positions in Kappa Alpha Theta.