Selected Grants
Deprescribing Decision-Making using Machine Learning Individualized Treatment Rules to Improve CNS Polypharmacy
ResearchCo Investigator · Awarded by National Institutes of Health · 2024 - 2029Integrated Detection and Classification of Sepsis via Tensor Methods Using EHR
ResearchCo Investigator · Awarded by National Institutes of Health · 2024 - 2029Predicting phenotypes in benign urology
ResearchCo Investigator · Awarded by National Institute of Diabetes and Digestive and Kidney Diseases · 2024 - 2027Machine Learning Methods to Develop and Deploy Real-Time Risk Surveillance for Autism Spectrum Disorder and Attention Deficit Hyperactivity Disorder from the Electronic Health Record
ResearchCo-Mentor · Awarded by National Institute of Mental Health · 2022 - 2027Understanding heterogeneity and Improving the Precision of Prostate Cancer Clinical Outcomes in the Modern Era
ResearchCo Investigator · Awarded by Department of Defense · 2023 - 2026Design, prediction, and prioritization of systematic perturbations of the human genome
ResearchCo-Principal Investigator · Awarded by National Human Genome Research Institute · 2021 - 2026Analytics & Machine-learning for Maternal-health Interventions (AMMI): A Cross-CTSA Collaboration
ResearchPrincipal Investigator · Awarded by University of North Carolina - Chapel Hill · 2022 - 2026Duke Center for Advancement of Child Health (CAtCH).
Inst. Training Prgm or CMEMentor · Awarded by National Institutes of Health · 2021 - 2026PacBio Sequel IIe for GCB Sequencing Core
EquipmentMajor User · Awarded by National Institutes of Health · 2023 - 2024Development of a program to assess and treat distress in glaucoma patients using an automated EHR-derived AI algorithm
ResearchMentor · Awarded by National Institutes of Health · 2021 - 2023NSF Convergence Accelerator Track D: A Trusted Integrative Model and Data Sharing Platform for Accelerating AI-Driven Health Innovation
ResearchCo-Principal Investigator · Awarded by National Science Foundation · 2020 - 2022External Relationships
- Amazon, Inc
This faculty member (or a member of their immediate family) has reported outside activities with the companies, institutions, or organizations listed above. This information is available to institutional leadership and, when appropriate, management plans are in place to address potential conflicts of interest.