Wilsdorf 312
385 McCormick Rd
385 McCormick Rd
Charlottesville, VA 22904
Bilodeau Lab Webpage Google Scholar


Dr. Bilodeau received her B.S. and M.S. from Northwestern University and her Ph.D. from Rensselaer Polytechnic Institute, both in Chemical and Biological Engineering. During her Ph.D., she received the Lawrence Livermore Advanced Simulations and Computation Graduate Fellowship, through which she carried out research at Lawrence Livermore National Laboratory. Dr. Bilodeau is currently a postdoctoral researcher studying machine learning for molecular design in Klavs Jensen’s group in the Chemical Engineering department at MIT. She has joined the University of Virginia as an assistant professor in Chemical Engineering and will begin her position in January 2023.

Molecular simulations are powerful tools that can predict important physical properties while simultaneously yielding a full molecular picture of the system. In the past decade, the advent of GPU computing has resulted in dramatic improvements in the computational speed of molecular simulations, making it possible to study larger, more complex systems. At the same time, the field of deep learning has experienced a renaissance, with neural networks being successfully employed for reading text, classifying images, and even folding proteins. This convergence of increased hardware and algorithmic capabilities has set the stage for combining the wealth of data arising from rapid molecular simulations with the deep learning tools to mine this data.

In the Bilodeau group, we explore the intersection between molecular simulations, statistical physics, and artificial intelligence to develop tools to discover and design new molecules, surfaces, and proteins with optimized properties. Our core expertise lies in molecular dynamics simulations of soft matter systems and artificial intelligence for molecular property prediction and generation. This interdisciplinary toolset allows us to solve important problems in applications ranging from designing biotherapeutics to developing novel separation materials.


B.S. Northwestern University, 2015

Ph.D. Rensselaer Polytechnic Institute, 2020

Post-Doc Massachusetts Institute of Technology, 2020-2022

"We combine molecular simulations and artificial intelligence to design new molecules and materials."

Camille Bilodeau

Research Interests

Molecular Simulations
Machine Learning & Artificial Intelligence
Statistical Physics & Biophysics
Protein Separations


RPI William N. Gill Prize for Excellence in Dissertation Research 2020
Lawrence Livermore National Laboratory: Advanced Simulations and Computation Fellow 2016-2020
GRC Water and Aqueous Solutions: Young Investigator Poster Award 2018
Preparative Chromatography Symposium Poster Award: First Place 2018
ACS Biotechnology Division: Best in BIOT Award 2018
Lawrence Livermore Student Symposium: Poster Award 2017
Three Minute Thesis: First Runner-Up Award 2017
Howard P. Isermann Fellow 2015-2016
Northwestern University: Dean’s Scholar 2010-2015