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user. Our research focuses on understanding and enhancing human performance and behavior as people interact with complex systems, with the ultimate goal of improving operator safety, productivity, and
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and algorithmic perspectives on large language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern
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-driven scientific discovery, automating hypothesis generation in finance / natural sciences / physical sciences, enhancing collaborative workflows in complex organizational settings. Qualifications
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