AI & Machine Learning

Development of machine learning algorithms to address key challenges in biomedical research and clinical predictive modeling towards precision medicine:

• Accurate and interpretable models
• Expert-Augmented Machine Learning
• Combining Large Language Models with Supervised Learning for clinical predictive modeling

Neuroscience

We work with high-dimensional multimodal data to understand human brain development in children and brain aging in adults to gain insights into neurological and psychiatric disease.

Electronic Health Records

We are using advanced machine learning algorithms to train accurate and interpretable clinical prediction models on EHR data.

Bioinformatics

Working with the FTD Center without Walls, we are developing the tau metabolism & variant database as a comprehensive resource for the tau field and beyond.