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BrainAlignNet
Deep neural network for registering calcium images of C. elegans's nervous system.
I seek to understand how different brain regions synchronize their activity through oscillatory dynamics to facilitate communication and coordination. My primary interests are (i) studying how brain rhythms contribute to executive functions like working memory and attention, and (ii) identifying specific patterns of neural oscillations associated with conscious vs. unconsious states. I'm deeply motivated by the prospect of reversing cognitive decline due to aging and augmenting human cognitive performance.
I received my B.S. from Harvey Mudd College in Claremont, California, with double majors in Physics and a joint major in Mathematics and Computer Science. I completed my humanities concentration in Philosophy. As an undergraduate, I did two summer internships at HHMI Janelia with the Funke Lab . I'm now a full-time research assistant at MIT with the Flavell Lab.
With my interdisplinary background in physics, mathematics and AI, I hope to approach my research questions using tools from Dynamical Systems Theory, Topology, Statistical Mechanics, and Deep Learning.
Deep neural network for registering calcium images of C. elegans's nervous system.
Applying AI models to understand how C. elegans neural dynamics correlate with behavior.
A distributed NMF based on stochastic gradient descent to reconstruct fluorescent cell components, their activity traces, and the background of where the cells locate.
Analyze Electron Microscopy images of Drosophila brain synapses to identify significant differences in ultra-structural features among classical neurotransmitter types.
I love writing! Usually, I document my thoughts in private journals, but I'm trying to share my thoughts more publicly on Substack. I recently started a newsletter: Quest for Intelligence, on the subjects of Neuroscience, AI, and Philosophy.