Meet Ronit Chaodhary, an undergraduate researcher, who co-authors AI for science paper accepted at ICML 2026 workshop

Ronit Chaodhary, a 21-year-old undergraduate at Newton School of Technology, co-authored the paper “RETROSPECT: RETROsynthesis via Sequential Prediction, and Chemically Transformed-ranking,” accepted at the ICML 2026 AI for Science Workshop. Developed during a 45-day internship at Mstack AI, the research applies AI to retrosynthesis, helping predict chemical pathways for molecule synthesis in drug discovery and materials science. The work highlights growing undergraduate participation from India in frontier AI research and scientific applications of machine learning.