Rahul Sheshanarayana

PhD Candidate, Systems Engineering Β· PEESE Lab Β· Cornell University

prof_pic.jpg

I am a PhD candidate in the Systems Engineering program at Cornell University, a member of the PEESE Lab, advised by Prof. Fengqi You. My research sits at the intersection of machine learning and computational chemistry, with a focus on sustainable molecular design and PFAS remediation.

I develop generative models, scalable ML frameworks, and molecular simulation tools to address challenges in sustainability and materials science. Recent projects include a bond dissociation energy (BDE)-conditioned transformer for inverse radical design and knowledge distillation methods for molecular property prediction. I hold an MS in Chemical Engineering from Cornell University and a bachelor’s from IIT Roorkee.

My work has appeared in Advanced Science, Nature Communications, J. Chem. Inf. Model., and other leading journals, with multiple journal covers and an Editor’s Pick. See my publications and projects for more.

news

Jun 01, 2026 πŸŽ‰ Rahul passed his PhD candidacy exam [A-exam]!
May 18, 2026 πŸŽ‰ Rahul passed his PhD qualifying exam [Q-exam]!
Sep 26, 2025 πŸŽ‰ Paper published in J. Chem. Inf. Model. on curriculum learning for retrosynthesis - Supplementary Journal Cover! [Paper] [Cover]
Sep 22, 2025 πŸŽ‰ Molecular representation learning review featured in Cornell Engineering News!
Aug 01, 2025 πŸŽ‰ Review paper on molecular representation learning published - Journal Inside Front Cover! [Paper] [Cover]
May 19, 2025 πŸŽ‰ Knowledge distillation paper featured in the Cornell Chronicle!
Apr 09, 2025 πŸŽ‰ Paper on knowledge distillation for molecular property prediction published in Advanced Science - Journal Frontispiece! [Paper] [Frontispiece]
Jan 24, 2025 πŸŽ‰ New preprint on ChemRxiv - data-driven COβ‚‚ hydrogenation reaction networks, under review at Nature Communications! [Preprint]
Jan 10, 2025 πŸŽ‰ Kinetic model for pine wood thermal liquefaction published in Biomass Conversion and Biorefinery! [Paper]