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职业迁徙
个人简介
I am interested in developing methods with theoretical guarantees for data-driven decision-making: leveraging statistical predictions from heterogeneous data to inform reliable decisions which are calibrated for individual and stakeholder benefit. Currently, I am working on leveraging causal inference and machine learning as a language for prescriptive analytics, making robust recommendations for action in view of fundamental practical challenges in observational/operational data. More broadly, I am interested in the interplay of statistics and optimization for decision-making, with applications to healthcare and policy.
研究兴趣
论文共 24 篇作者统计合作学者相似作者
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arxiv(2024)
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Social Science Research Network (2023)
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arXiv (Cornell University) (2022)
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