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: Develop innovative machine learning architectures for the mining, prediction, and design of enzymes. Combine state-of-the-art ML (e.g., deep learning, generative models) with computational biochemistry
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architecture Design software architectures, and develop software libraries and perform computational simulations Lead the development of a state-of-the-art immersive visualization facility Lead the development
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expression patterns. Our approach combines genomic, molecular, neurobiological, comparative, and computational methods to link genome architecture to neural circuit organization and to understand
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research: Develop and analyze dynamic models and guidance and control algorithms Conceptualize and develop sample scenarios, roadmaps and trade-off analyses Code software libraries and perform computational