Roshan Patel

Princeton University

Papers

2

Total Citations

178

H-Index

2

About

Roshan Patel is a leading researcher at the intersection of polymer chemistry, protein engineering, and artificial intelligence. His work focuses on designing advanced polymer–protein hybrids that dramatically enhance protein stability in non-native environments—a critical challenge for medicinal, commercial, and industrial applications. Patel’s landmark 2022 paper, “Machine Learning on a Robotic Platform for the Design of Polymer–Protein Hybrids,” has garnered 173 citations, reflecting its transformative impact. In this study, he pioneered a strategy that integrates automated polymer synthesis with machine learning to rapidly identify optimal random copolymer compositions for protein stabilization. By combining high-throughput robotic experimentation with data-driven modeling, Patel’s approach accelerates the discovery of tailored polymer coatings that protect proteins from harsh conditions like heat or organic solvents. This work not only advances fundamental materials science but also opens new pathways for creating robust biocatalysts and therapeutic proteins. Patel’s contributions exemplify how AI and automation can revolutionize biomaterials design, making him a key figure in the emerging field of intelligent polymer engineering.

Research Focus

Key Achievements

2
H-Index
2
Papers
178
Total Citations
89
Avg Citations/Paper
🏆 Most Cited Paper
Machine Learning on a Robotic Platform for the Design of Polymer–Protein Hybrids
173 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Princeton University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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