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Grants

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Federal Grants​​​​​​​

  • National Institutes of Health, "Transforming Precision Medicine: Dynamic Learning and Prediction of Disease Progression in Massive, Diverse, and Multimodal Cohorts."​​ (current

    • NIH R01DK142026, $2.1M, 3/2025-12/2028.  Role: Co-I (My effort: $300K for 4 years). In collaboration with PI Jin Zhou.

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  • National Science Foundation, "Conference: UCLA Synthetic Data Workshop." ​​(completed)

    • NSF DMS Award #2309349, 4/1/2023-3/31/2024.  Role: Co-PI. In collaboration with PI Guang Cheng. ​​

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  • National Science Foundation, "Development of Machine Learning Technology for Matching under a Variety of Realistic and Large-Scale Preference Structures."​ â€‹â€‹(completed)

    • NSF IIP Award #2133869, 6/1/2021-11/30/2022.  Role: EL (similar to Co-PI). In collaboration with PI Lexin Li. ​​

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Industrial Grants​​​​​

  • Merck & Co., "Dynamic Double Machine Learning for High-dimensional Causal Inference in Neuroscience Applications." ​​​(current)

    • Merck Research Grant, $300K, 1/1/2025-12/31/2026 Role: PI.​​ In collaboration with PI Hua Zhou and PI Jin Zhou.

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  • Amazon, "Optimal Data Augmentation Strategy Search." ​​​(completed)

    • Amazon Research Grant, $60K, 7/1/2020-6/30/2021 Role: Co-PI.​ In collaboration with PI Robert M. Anderson.​

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University Grants​​​​​

  • University of California, Los Angeles, "Advancing Understanding and Diagnosis of Alzheimer's Disease through Interpretable Machine Learning." ​​​(current)

    • Research Grant, 7/1/2023-6/30/2025 Role: PI.​

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  • University of California, Los Angeles, "Interpretable Machine Learning for Neuroimaging Analysis under Heterogenous Population." ​​​(completed)

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

    • UC Berkeley Research Grant, 1/1/2021-6/30/2021.   Role: PI.​

© 2025 Xiaowu Dai
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