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Funded Research

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• National Institutes of Health, "Flexible yet Interpretable Statistical Learning and Inference for Neuroimaging Analysis." ​

  • NIH Grant R01. Under Review. Submitted on 9/2022.

  • Role: Subaward PI. This project is in collaboration with PI Lexin Li and Co-PI William Jagust at UC Berkeley.

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• National Science Foundation, "Development of Machine Learning Technology for Matching under A Variety of Realistic and Large-Scale Preference Structures." ​

  • NSF IIP Award #2133869, 6/1/2021-11/30/2021. Total Amount: $50,000. 

  • Role: EL (similar to Co-PI). This project is in collaboration with PI Lexin Li at UC Berkeley.​​

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• Amazon-BAIR Commons Grant, "Optimal Data Augmentation Strategy Search." ​

  • 3/1/2020-8/30/2021. Total Amount: $60,000. 

  • This project is in collaboration with PI Robert Anderson at UC Berkeley.​

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• University of California Berkeley, "A Novel Machine Learning Framework for Matching Markets." ​

  • ​UC Berkeley PostX Award, 1/1/2021-3/30/2021. Total Amount: $5,000. 

  • Role: PI. This grant is awarded by Visiting Scholars and Postdoctoral Affairs (VSPA) Program and the Chief Innovation & Entrepreneurship Officer at UC Berkeley.​​

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