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What I Do
Bridging Methods Development and Clinical Applications to Advance Brain Health
I Investigate.
In my research, I explore complex datasets and use AI-driven imaging techniques to uncover new insights into neuropathology, development, and brain health. My work is dedicated to advancing clinical applications, helping us better understand how the brain can adapt and recover from neurological events.
I Teach.
In teaching, I aim to inspire and educate the next generation of scientists. My approach integrates the latest neuroimaging techniques with practical clinical applications, helping students and researchers to understand how to translate complex data into impactful insights for patient care.
I Mentor.
Guiding emerging researchers is central to my mission. I work closely with mentees to foster their scientific curiosity, support their growth, and encourage innovative thinking. Together, we pursue research that bridges the gap between technical advancement and real-world clinical impact.
Navigating brain health research?
If you want to collaborate or chat about some of my work – Let’s talk!
Teaching Materials and Resources
Explore my curated materials and resources designed to deepen your understanding of brain health, neuroanatomy, and neuroimage analysis.
Research
My research centers on advancing brain health through innovative neuroimaging and big-data analytics. By combining artificial intelligence with clinical imaging, I strive to uncover insights into stroke outcomes, brain resilience, and the factors that influence recovery. A key focus of my work is developing automated tools for disease burden mapping, allowing for more precise, personalized approaches to patient care. This research bridges the gap between methodological advances and real-world clinical application, ultimately driving progress in precision medicine.
My Story
I am Instructor in Investigation at Massachusetts General Hospital, Harvard Medical School. Here, I apply my theoretical background combined with my interest in neuroimage analysis across the life-span to further research to improve our understanding of diseases, such as stroke, and the associated outcome for patients. In my current work, I promote the use of clinical magnetic resonance images in large scale analyses. My goal is the facilitation of translational research to the point where theoretical neuroimage analysis can be used to understand individual differences in patients. This will help support medical decision making and personalize treatment options for patients in order to improve their long-term outcome.
