I do machine learning research in the Turaga Lab at HHMI Janelia Research Campus. More specifically, I use variational inference and deep generative models to solve problems in neuroscience. Currently, I work on connectomic- and task-constrained neural networks for simulating whole-brain neural dynamics. My research also involves quantitatively understanding the accuracy of these neural simulations as a function of the amount of connectomic data available.
In the past, I’ve worked on variational spike inference from calcium fluorescence imaging, as well as some research in natural language processing.
|Feb 25, 2021||We presented our poster titled “Connectome-constrained latent variable model of C. elegans chemosensation” at COSYNE 2021.|
|Feb 28, 2020||We presented our poster titled “Inferring function from structure with connectome and task constrained neural networks” at COSYNE 2020.|