Heloise Mugnier

Rutgers, The State University of New Jersey

Papers

Total Citations

191

H-Index

About

Heloise Mugnier is pioneering the intersection of robotics, machine learning, and polymer chemistry to solve a fundamental challenge in biotechnology: stabilizing proteins in harsh, non-native environments. Her central research focuses on designing synthetic random copolymers that form polymer–protein hybrids, a class of materials that dramatically enhance protein stability for use in medicinal, commercial, and industrial applications. Mugnier’s landmark 2022 paper, “Machine Learning on a Robotic Platform for the Design of Polymer–Protein Hybrids,” published in *Advanced Materials*, has garnered over 170 citations, underscoring its impact. In this work, she demonstrated a powerful strategy that couples automated polymer synthesis with machine learning to rapidly identify optimal copolymer compositions—a feat that would be impractical through traditional trial-and-error methods. By integrating robotic platforms with data-driven design, Mugnier is not only accelerating the discovery of next-generation biomaterials but also establishing a new paradigm for materials science. Her work represents a significant leap forward in creating robust, functional protein-based materials, making her a rising leader in the field of smart polymer design.