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to work on a project at the intersection of deep learning and computer security/privacy, under the direction of Dr. Michael Wu. The project seeks to investigate security and privacy problems in deep
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statistical approaches. A fundamental understanding of Deep Neural Networks as applied to high-frequency time series datasets, including the ability to design and implement custom NN models in PyTorch, as
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deep reinforcement learning, multi-agent systems, trustworthy AI, explainable/safe SI, neuro-symbolic/neuro-symbolic AI, and intelligent autonomous driving. Publish research findings in top-tier
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preparing progress reports. Additional duties as assigned. Knowledge, Skills and Abilities: Knowledge of deep learning, machine learning, image processing, and EO/IR and RF signal processing. Strong analysis
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patients with the genetic disease hereditary hemorrhagic telangiectasia. Approaches make use of spatial omics, advanced imaging techniques such as 3D deep tissue staining, microCT, and synchrotron imaging