Through AI-driven intelligent healthcare, bioinformatics, and ethical trustworthy AI.
We work at the intersection of computer science and biomedicine, developing cutting-edge deep learning models and large language models for clinical impact.
Developing state-of-the-art AI algorithms, particularly deep learning and large language models, to enable disease detection, prognosis, and risk assessment across diverse clinical settings.
Building intelligent computational frameworks to decode gene regulatory networks, predict protein function and structure, and model complex biological systems with curiosity-driven AI agents.
Investigating privacy, security, bias, fairness, toxicity, and the societal implications of AI in medicine to ensure clinical AI is responsible, interpretable, and aligned with human values.
Whether you are interested in collaboration, joining the lab, or just want to learn more about our work, we would love to hear from you.