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machine learning approaches with large-scale biological data to automate genome curation by detecting, interpreting, and correcting structural errors, reducing manual effort from weeks to minutes thus
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that combines modern machine learning approaches with large-scale biological data to automate genome curation by detecting, interpreting, and correcting structural errors, reducing manual effort from weeks
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, AI-enhanced forecasting, optimization, or simulation-based analysis • Building and scaling cloud-based activity-based mobility analytics systems (AWS/Azure/GCP) for large multi-city datasets
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scaling cloud-based activity-based mobility analytics systems (AWS/Azure/GCP) for large multi-city datasets Enhancing and deploying computational platforms such as Cornell TEAM-Cities, CATChain, uTECH, etc
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computation and fusion, systems and software, or modeling multi-layer networks, and active participation in research projects and leading a group of highly motivated Ph.D. students is desired. Urban