eSupervisor Detail

About me

I am a PhD candidate in Computational Neuroscience at Dartmouth College and an NIH T32 Fellow with a background spanning human biology (pre-MED) and AI engineering. My research focuses on neural signal processing, human decision-making, and biomarker analysis in clinical populations. I am able to offer students guidance in navigating the intersection of neuroscience and AI, preparing for graduate-level research, and understanding how scientific knowledge translates into real-world applications.

Interests: My research interests lie at the intersection of computational neuroscience, neural signal processing, and artificial intelligence, with a long-term focus on translating brain science into meaningful clinical applications. I am particularly interested in decoding human cognition through neuroimaging methodologies (fMRI, EEG, MEG, etc), investigating the neural mechanisms underlying decision-making and cognitive control, and developing robust biomarkers for neurological and substance use disorders. Broadly, I am driven by the goal of bridging advanced AI and machine learning techniques with human neuroscience to reduce the gap between laboratory discovery and patient care. Ultimately, contributing to a future where brain-computer technology can meaningfully improve health outcomes.