Anne Gambrel

Senior Data Scientist @ Civis Analytics

About Anne Gambrel

Anne Gambrel is a Senior Data Scientist at Civis Analytics, specializing in data analysis and modeling. With a background in Engineering Physics and a PhD in Physics from Princeton University, she has extensive experience in data-driven projects, including developing voter turnout models and demographic predictions.

Work at Civis Analytics

Anne Gambrel has been employed at Civis Analytics as a Senior Data Scientist since 2021. In this role, she applies her expertise in data science to develop analytical models that support various initiatives. Her contributions include creating demographic models that predict traits of over 200 million Americans, enhancing the organization's capabilities in data-driven decision-making.

Education and Expertise

Anne Gambrel holds a Bachelor of Science degree in Engineering Physics from The University of Tulsa, where she studied from 2007 to 2011. She furthered her education at Princeton University, earning a Doctor of Philosophy in Physics from 2011 to 2018. Her academic background equips her with a strong foundation in both theoretical and applied physics, which she leverages in her data science career.

Background

Prior to her current position, Anne Gambrel worked as a Postdoctoral Researcher at the University of Chicago from 2018 to 2021. During this time, she focused on advanced research projects that contributed to her expertise in data analysis. Additionally, she spent a decade building telescopes in Antarctica, where she analyzed data to explore the origins of the Universe, demonstrating her extensive experience in scientific research and data interpretation.

Achievements

Anne Gambrel developed a voter turnout model for the 2022 midterms, which was utilized by national Democratic organizations and polling firms. This model reflects her ability to apply data science techniques to real-world challenges, particularly in the political arena. Her work in creating demographic models has also significantly contributed to understanding the characteristics of the American population.

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