Sabari Kumar

I am a PhD candidate in Physical Chemistry at Colorado State University, advised by Dr. Seonah Kim, where I build machine learning models for molecular property prediction. My work spans graph neural networks, geometric deep learning, and physics-informed architectures, applied to problems ranging from bond dissociation energies and solubility to protein and peptide property prediction.

I am interested in the full pipeline of scientific machine learning, from generating quantum-mechanical training data to deploying production-scale models with reproducibility guarantees. In summer 2024 I was a research intern at GlaxoSmithKline, where I developed graph-based models for drug–target interaction prediction. I have authored 12 peer-reviewed publications and preprints across machine learning, computational chemistry, and combustion science.

I expect to complete my PhD in summer 2026 and am on the job market for roles in machine learning and computational chemistry / drug discovery. Please feel free to reach out by email — I would be glad to hear from you.