Explainable AI for Biology, and Clinical Medicine (ABC story)

The goal of our research is to conceptually and fundamentally advance the way AI is integrated with biomedicine by addressing novel, forward-looking, and stimulating scientific questions, enabled by AI advances. Our lab develops AI/ML approaches for a broad spectrum of problems from basic biology to bedside applications. Current research themes include:

• Foundational AI/ML advances

• Cancer biology and precision medicine

• Alzheimer's disease (AD) therapeutic target discovery

• Unsupervised deep learning for gene expression and multi-modal data

• AI for clinical medicine and healthcare

  • Emergency medicine

  • Biology of aging

• Model and data auditing

  • Radiology

  • Dermatology

Research keywords:

• Computational biology & medicine - precision medicine, systems biology, & genetics

• Machine learning - explainable AI, interpretability, & probabilistic graphical models