CO-INVESTIGATOR

University of Wisconsin

After completing my PhD in Computer Science with a focus on computer vision, robotics, and machine learning, I shifted my research focus to the exciting field of neuroimaging in 2009. Since then, I have been working closely with the ISLA team, particularly Drs. Janet Lainhart and Andrew Alexander. In fact, my first publication in neuroimaging analyzed the shapes of white matter pathways in their longitudinal autism study.

Over the past 16 years, I have been advancing best forms of Knowledge Integration for Neuroscientific Discovery (KIND) research. My work has been centered on developing leading edge diffusion weighted imaging (DWI) analytics which provide a strong basis for microstructural and network neuroscience investigations in conditions such as autism, stroke, epilepsy, dementia, as well as aging and mindfulness practices for well-being. I bring deep expertise in data harmonization including clinical DWI data, along with advanced statistical modeling approaches such as generative additive modeling with location scale and shape (GAMLSS) parameters for normative modeling and biological brain aging clock modeling using AI and machine/deep learning.

My long-term scientific focus is to apply my academic and research efforts to enhancing the scientific understanding of brain, body, and behavioral mechanisms that enable well-being, reduce suffering of the mind and body across lifespan, and extend the health span of human beings around the world.

On the ACE project I serve as a Co-Investigator and co-lead DWI analytics, data coordination center, as well as lead the brain age clock modeling and normative modeling work.