Research

My research is focused on Neuroscience and Machine Learning for Precision Medicine.
I am part of the Division of Bioinformatics in the Department of Epidemiology and Biostatistics. I am an affiliate faculty of the Institue for Global Health Science and the Bakar Computational Health Sciences Institute, a member of the Center for Intelligent Imaging, and co-lead of the Genomics & Transcriptomics Core of the FTD Center without Walls. I am also an affiliate of the Center for Targeted Machine Learning and Causal Inference at UC Berkeley.

I work with a great team of colleagues across schools and departments, including Neurology, Radiology, Oncology, Statistics, and Computer Science. See the LCM website

Machine Learning

I am involved in the development of machine learning methods to address key challenges in biomedical research and clinical predictive modeling. Areas of interest include:

• Multimodal data analysis
• Clinical predictive modeling using Electronic health records (EHR)
• Accurate and interpretable predictive models
• Expert-augmented machine learning
• Ethical and trustworthy ML

Neuroscience

I work with multimodal, high-dimensional data to study brain development, neurological disease, and psychopathology.

Global Health

As part of the Institute for Global Health Sciences, I work with UC Global Programs in Kenya creating models using HIV case-based surveillance data.