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Main Menu - Block
- Overview
- Anatomy and Histology
- Cryo-Electron Microscopy
- Electron Microscopy
- Flow Cytometry
- Gene Targeting and Transgenics
- Immortalized Cell Line Culture
- Integrative Imaging
- Invertebrate Shared Resource
- Janelia Experimental Technology
- Mass Spectrometry
- Media Prep
- Molecular Genomics
- Primary & iPS Cell Culture
- Project Pipeline Support
- Project Technical Resources
- Quantitative Genomics
- Scientific Computing Software
- Scientific Computing Systems
- Viral Tools
- Vivarium
My research lies at the intersection of AI and science, with a particular focus on neuroscience, biomechanics, optics, and protein engineering. We model the brain and the body in order to understand neural computation. We combine differentiable simulations of optical systems to develop a new kind of programmable microscope. We engineer new protein sensors using machine learning and mechanistic models of protein function.
Biography
I am a group leader at HHMI Janelia Research Campus and member of NSF AI Institute for ARtificial and Natural Intelligence (ARNI). I was an early pioneer of AI for science and the new neuroscience field of connectomics, developing deep neural networks for computer vision, and for mapping the connectivity of nervous systems at the single neuron and nanometer scale.
My PhD at MIT was supervised by Sebastian Seung during which I developed AI methods for reconstructing the wiring diagram of the brain. In collaboration with Winfried Denk, we used these methods to map the inner plexiform layer of the mouse retina. These methods were the AI powering EyeWire, a citizen-science project led by the Sebastian Seung, which used crowd-sourcing to map a much larger volume of the mouse retina, also imaged by the Denk lab.
My postdoc at the incredible Gatsby Unit at University College London was advised by Peter Dayan and Michael Hausser. At UCL, I worked on building statistical models of large-scale neural activity recordings. I also drank a lot of tea.