Paulette Clancy is a British physicist who is Professor of Materials Science at Johns Hopkins University.

[1][2][3][4] Her research investigates the development of machine learning strategies to advance innovation in materials design, with a focus on complex situations.

Clancy founded the Women in Science community at Cornell, and has advocated for equity and inclusion throughout her career.

Her research involves computational simulations of semiconducting materials, include inorganic (e.g. silicon and germanium) and molecular systems.

[8][11] She is interested in the simulation of complex organic systems (e.g. antibacterial oligomers and covalent organic frameworks), understanding processes involved during nucleation and crystal growth, and the development of large-scale models for materials innovation (machine learning, force fields, Bayesian optimisation).