Li Liao

Li Liao's research applies computational and machine learning methods to problems in molecular biology and bioinformatics, particularly predicting structural contacts in membrane proteins and forecasting which diseases tend to co-occur in patients. This work combines techniques like graph-based deep learning, transfer learning, and support vector machines with biological data such as protein structures, gene networks, and patient health records. Some publications in the list appear unrelated to this core focus, covering topics like combustion engineering and language education, suggesting either interdisciplinary collaborations or shared author names.

Publication output has grown over the last decade, rising from about 2-3 papers per year in 2017-2019 to a higher and fairly steady rate of 6-8 papers per year from 2023-2025.

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