Bio
My research lies at the intersection of machine learning, computer vision, healthcare, and computational neuroscience. I work on automatic analysis of human activities and behaviors from videos and connecting how humans perform actions to the brain by analyzing magnetic resonance images (MRIs). I explore explainable machine learning algorithms for understanding the underlying factors of neurodegenerative and neuropsychiatric diseases on the brain as well as their ramifications for everyday life.
Academic Appointments
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Clinical Assistant Professor, Psychiatry and Behavioral Sciences
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Faculty Affiliate, Institute for Human-Centered Artificial Intelligence (HAI)
Administrative Appointments
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Associate Editor, IEEE Journal of Biomedical and Health Informatics (2020 - Present)
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Associate Editor, Journal of Ambient Intelligence and Smart Environments (2019 - Present)
Honors & Awards
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Senior Member, IEEE (2021-Now)
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REC Fellow, Stanford University Alzheimer's Disease Research Center (ADRC) (2020-2022)
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Innovator Award 2021, Stanford University School of Medicine Department of Psychiatry \& Behavioral Sciences (2020-2021)
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Young Investigator Award, Medical Image Computing and Computer Assisted Interventions (MICCAI) (2018)
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NIH F32 Fellowship Award, NIAAA (2018-2019)
Professional Education
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Postdoctoral Research Associate, University of North Carolina at Chapel Hill, Machine Learning and Medical Imaging (2017)
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Graduate Research Scholar, Carnegie Mellon University, Computer Vision (2012)