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Highlights

  1. 1
    Nature communications · 2023
    PMID: 37029117PMCID: PMC10080528DOIFirst author46 citations
  2. 2
    Nature communications · 2023
    PMID: 38081829PMCID: PMC10713627DOIFirst author58 citations
  3. 3
    Nature communications · 2025
    PMID: 40169569PMCID: PMC11961632DOIFirst author9 citations

Publications

43 publications

Active

4 grants
  • PI
    Deriving Real World Insights to Inform Trials for Pregnant Individuals Using Electronic Health Records and Machine Learning
    Eunice Kennedy Shriver National Institute of Child Health and Human Development · 2026–2031
    R01HD120978-01
  • Co-I
    AR² - Autism Replication, Validation, and Reproducibility Center
    Office of the Director, NIH · 2025–2028
    OT2OD040511-01
  • Co-I
    Heart Failure Endotypes from Ethical, Multi-Modal AI driven and Molecular/Phenotypic Data Integration Enabled Discovery
    Office of the Director, NIH · 2025–2026 · via Northwestern University
    OT2OD038083-01
  • KP
    PASC EHR/ORWD Phase II Proposal (RECOVER) Year 5
    National Heart, Lung, and Blood Institute · 2023–2026 · via New York University School of Medicine (Grossman)· 3 renewals
    OT2HL161847-01

News mentions

  • AI Research Team Could Streamline Clinical Trial Design
    July 7, 2026

    An artificial intelligence system that operates like a collaborative team of medical experts could accelerate clinical trial design, one of the most difficult steps in drug development, according to a new study by Weill Cornell Medicine investigators.

  • Pregnancy May Reduce Long COVID Risk
    April 1, 2025

    A multi-institutional study co-led by Weill Cornell Medicine finds that pregnancy may offer some protection from developing Long COVID— a condition lasting for months after a person recovers from SARS-CoV-2 infection.

  • Study Discovers Long COVID Risk and Symptoms Vary in Different Populations
    May 9, 2023

    While the peak of the COVID-19 pandemic seems to have passed, the effects of post-COVID conditions on public health remain. A new study led by Weill Cornell Medicine and NewYork-Presbyterian investigators has found that the risk of long COVID and its symptoms present very differently across diverse populations and suggests that further investigation is needed to accurately define the disease and improve diagnosis and treatment.

Mentoring

1 mentee