Pranoy Ray

Chicago, Illinois 60615

Pranoy is a Postdoctoral Researcher at the Center for Organic Battery Innovation (COBI). His research develops data-efficient screening methods to support physical experiments in the pursuit of accelerated battery material design and discovery. He is currently advised by Dr. Laura Gagliardi and Dr. Rajeev Assary. He earned his Ph.D (Mechanical Engineering) in May 2026 from the Georgia Institute of Technology, Atlanta, advised by Dr. Surya R. Kalidindi.

He is a computational materials science researcher and data scientist specializing in molecular structure screening using spatial statistics. His work develops feature engineering workflows that inform robust material process-structure-property relationships across chemical processes, integrating physics-based constraints with data-driven models on HPC systems. He has experience in driving technical deliverables for chemical, semiconductor, and federal lab partners, and led diverse research teams in fast-paced environments.

news

Mar 31, 2026	Recipient of the William H. Glenn Sr. Fellowship
Nov 01, 2025	Journal article on Lean CNNs highlighted by TMS Editors as a 2025 standout article.
Sep 18, 2025	Recipient of the Woodruff School Fellowship @GeorgiaTech.
Jan 12, 2024	Recipient of the Novelis Graduate Scholarship.

selected publications

Adv. Sci.

ML Workflows for Screening Degradation-Relevant Properties of Forever Chemicals

Pranoy Ray, A. Castillo, Manoj Kolel-Veetil, and 1 more author

Advanced Science, Jan 2026

DOI Bib HTML

@article{ray2026pfasworkflows,
  title = {ML Workflows for Screening Degradation-Relevant Properties of Forever Chemicals},
  author = {Ray, Pranoy and Castillo, A. and Kolel-Veetil, Manoj and Kalidindi, Surya R.},
  journal = {Advanced Science},
  year = {2026},
  month = jan,
  pages = {e23817},
  doi = {10.1002/advs.202523817},
}

npj Comput. Mater.

Refining Coarse-Grained Molecular Topologies: A Bayesian Optimization Approach

Pranoy Ray, A. P. Generale, N. Vankireddy, and 6 more authors

npj Computational Materials, Jul 2025

DOI Bib HTML PDF

@article{ray2025coarsegrained,
  title = {Refining Coarse-Grained Molecular Topologies: A Bayesian Optimization Approach},
  author = {Ray, Pranoy and Generale, A. P. and Vankireddy, N. and Asoma, Y. and Nakauchi, M. and Lee, H. and Yoshida, K. and Okuno, Y. and Kalidindi, Surya R.},
  journal = {npj Computational Materials},
  volume = {11},
  number = {234},
  year = {2025},
  month = jul,
  doi = {10.1038/s41524-025-01729-9},
}

arXiv

Electronic manifolds for extrapolative alloy discovery

Pranoy Ray, S. Bhowmik, P. Suryanarayana, and 2 more authors

arXiv preprint, Mar 2026

Bib HTML PDF

@article{ray2026electronicmanifolds,
  title = {Electronic manifolds for extrapolative alloy discovery},
  author = {Ray, Pranoy and Bhowmik, S. and Suryanarayana, P. and Kalidindi, Surya R. and Medford, Andrew J.},
  journal = {arXiv preprint},
  year = {2026},
  month = mar,
}