Jacqueline Valeri
Senior Data Scientist
Cambridge, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolJacqueline Valeri is a Senior Data Scientist at Moderna with seven years of experience applying machine learning and computational chemistry to small-molecule drug discovery and pre-clinical research. She develops custom algorithms and iteratively designs molecular libraries, partnering closely with experimentalists to advance projects like vaccine adjuvants, ionizable lipids for mRNA LNPs, and engineered DNA-binding proteins. A PhD in Biological Engineering from MIT and a Siebel Scholar, she blends rigorous academic training with hands-on translational impact in industry. Based in Cambridge, MA, she brings deep domain expertise in protein and small-molecule modeling coupled with practical ML deployment in lab-driven campaigns. Outside the lab she puzzles, bakes, skis, and reads sci-fi/fantasy, reflecting a creative, methodical approach to problem solving.
7 years of coding experience
5 years of employment as a software developer
Doctor of Philosophy - PhD Biological Engineering, Doctor of Philosophy - PhD Biological Engineering at Massachusetts Institute of TechnologyHigh School, High School at Bedford High SchoolM.S.E. Bioengineering, M.S.E. Bioengineering at University of Pennsylvania
Github Skills (52)
storm9
sequence8
custom-pages8
bootswatch6
jekyll6
liquid6
jekyll-theme6
genome6
machine-learning6
pytorch6
bootstrap6
deep-learning5
ruby5
bootstrap-theme5
google-analytics5
Programming languages (5)
Github contributions (5)
midas-wyss/engineered-riboregulator-ML
Dec 2019 - Feb 2022
Sequence-to-function deep learning frameworks for engineered riboregulators
Contributions:40 commits, 3 PRs, 81 pushes in 2 years 2 months
pytorchsequencedeep-learningmachine-learningframeworks
jackievaleri/BioAutoMATED
Feb 2022 - Nov 2022
Contributions:88 commits, 110 pushes, 9 comments in 9 months
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