Xia Ning

Xia Ning works on machine learning methods for drug discovery and molecule design, including generative models (diffusion models, large language models) for designing and optimizing molecular structures, predicting molecular properties, and planning chemical synthesis routes. This work connects to broader interests in recommender systems and computational tools that combine AI with chemistry and biomedical data. Prospective students would likely engage with methods research at the intersection of machine learning and computational chemistry/drug discovery.

Publication output has fluctuated over the last decade with a peak in 2020, a dip around 2021-2022, and a steady rebound to around 15-19 papers per year from 2023-2025.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026