CV

My curriculum vitae. Download the PDF using the button above, or browse the full CV below.

Contact Information

Name Pranoy Ray
Email pranoy@uchicago.edu
Website https://pranoy-ray.github.io

Professional Summary

Computational materials researcher and data scientist specializing in molecular structure screening using spatial statistics. Expertise in feature engineering workflows that inform robust material process-structure-property relationships across chemical processes. Experienced integrating physics-based constraints with data-driven models on HPC systems, with a track record delivering R&D for chemical, semiconductor, and federal lab partners.

Experience

  • 2024 - 2024

    Seattle, WA, USA

    Data Science Manager & Materials Scientist Intern
    Multiscale Technologies Inc.
    • Designed and deployed active learning workflows to accelerate process optimization, minimizing experimental trial-and-error loops for semiconductor, chemical, and US national lab partners.
    • Supervised and led a team of data scientists and engineers across the USA, France, India, and Pakistan delivering exploratory materials design solutions for Fortune 100 clients.
    • Architected the integration of physics-based material simulations into the MIND ecosystem, unifying pipelines across engineering APIs and cross-functional teams under MOT/Root Cause Analysis protocols.
  • 2019 - 2021

    Mumbai, India

    Research Assistant (Advisors: Dr. Srikumar Banerjee & Dr. Brahmananda Chakraborty)
    Bhabha Atomic Research Centre, HP & SRPD
    • Established theoretical design principles for solid-state hydrogen storage using DFT and AIMD; published multiple papers.
  • 2018 - 2018

    Bangalore, India

    Project & Industrial Intern (Advisor: Soumya Mandi)
    Hindustan Aeronautics Limited, Foundry & Forge Division
    • Conducted root cause analysis on manufacturing defects in investment casting, applying process control measures for yield improvement.
    • Developed preventive measures for quality control using Lean management.

Education

  • 2021 - 2026

    Atlanta, GA, USA

    PhD
    Georgia Institute of Technology
    Mechanical Engineering
    • Advisor: Dr. Surya R. Kalidindi
    • Thesis: On efficient screening strategies for molecular structures
  • 2022 - 2025

    Atlanta, GA, USA

    MS
    Georgia Institute of Technology
    Computational Science and Engineering
  • 2016 - 2020

    Durgapur, India

    BTech
    National Institute of Technology, Durgapur
    Metallurgical & Materials Engineering

Awards

  • 2026
    William H. Glenn Sr. Fellow
    George W. Woodruff School of Mechanical Engineering, Georgia Tech
  • 2025
    Woodruff School Fellow
    GWW School of Mechanical Engineering, Georgia Tech

    Research Excellence award

  • 2024
    Novelis Graduate Scholar
    Novelis Innovation Hub & Novelis Inc.

    Featured in GTRI News for research in sustainability, techno-economics of circularity, and AI/data science in materials and manufacturing.

  • 2022
    EIIF Fellow
    TokyoTech & Strategic Energy Institute @ GT

    Invited scholar at the 2nd Energy & Informatics Forum.

  • 2022
    CMS3 Fellow
    NSF + Texas A&M University

Certificates

  • Management of Technology (MOT) - Scheller College of Business, Georgia Tech (2025)
  • Computational Materials Science & Engineering (CMSE) - School of MSE, Georgia Tech (2023)

Service

  • Reviewer & Committee Member — SciPy Conference (2023, 2024, 2025)
  • Peer Reviewer (AI4Mat) — NeurIPS 2025, CVPR 2025, PEARC 2025, ICLR 2026
  • Peer Reviewer — Springer Nature, Journal of Materials, Chemical Papers, Artificial Intelligence Review, npj Computational Materials
  • Session Chair & Reviewer — GT Undergraduate Research Symposium (2025)
  • Board Member — Emerging Leaders Advisory Board @ GT (2025-2026)
  • Internal VP — Mechanical Engineering Grad Association (MEGA) @ GT (2023-2024)
  • President — Entrepreneurship Development Cell, NIT Durgapur (2016-2020)
  • Treasurer — Strokes (Art & Photography Club), NIT Durgapur (2017-2020)

Skills

Machine Learning / AI: Neural Networks, Gaussian Process Regression, Normalizing Flows, Autoencoders, Convolutional Networks
Programming & Data Science: Python (PyTorch, GPyTorch, BOTorch, PyVista, SciPy, scikit-learn), R, Java, C
Computational Materials Science: VASP, LAMMPS, GROMACS, DFT, Molecular Dynamics, CG-Martini3, ORCA
HPC / Cloud Platforms: MPI, AWS, GCP, Azure, Shell Scripting (SLURM/PBS), Flask, Firebase, Hadoop, Big Data
Autonomous Design & Decision Making: Bayesian Optimization, Active Learning, Sequential Decision Making, Pareto Frontier Analysis, Design of Experiments