WISDM Speaker

Camille Bilodeau, MS, PhD

Chemical Engineering | Chemical Engineering, Computation for Design and Optimization, Computational Science and Engineering
she, her, hers

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Speaking (Panel), Mentoring, Speaking (Presentation), Academic Collaborations

About Camille

Camille Bilodeau is a Chemical Engineering postdoc, developing AI tools for generating de novo molecules with optimized properties. Her current work focuses on applying generative models to different molecular design problems, incorporating multiple design objectives/constraints, and extending generative modeling approaches to the de novo design of chemical mixtures. Her PhD research focused on using molecular simulations to study proteins for application to separations in the biopharmaceutical industry. In the future, she is interested in exploring how generative modeling and molecular simulations can be combined to solve molecular design problems.

STEM Keywords

active learning, AI in healthcare, artificial intelligence, bioengineering, computational chemistry, computational modeling, Deep Learning, separation technologies, theoretical chemistry

Country of Origin

United States

Camille In the News

Class of 2020: Changemaker

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Camille Awards

RPI William Gill Prize for Excellence in Dissertation Research (2020)

GRC Water and Aqueous Solutions: Best Poster Award (2018)

ACS BIOT Division: Best in BIOT Award (2018)