Qi Long
Scholar

Qi Long

Google Scholar ID: gfklepYAAAAJ
Professor, University of Pennsylvania
Data ScienceBiostatisticsMachine LearningArtificial Intelligence
Citations & Impact
All-time
Citations
5,809
 
H-index
38
 
i10-index
130
 
Publications
20
 
Co-authors
11
list available
Resume (English only)
Academic Achievements
  • The research is supported by NIH, PCORI, NSF, ARPA-H, VA, and AHA.
Research Experience
  • Leads a research group focused on developing robust statistical and ML/AI methods for (integrative) analysis of big health data, including -omics data, EHRs, and imaging data. The work also covers missing data, causal inference, data privacy, algorithmic fairness, Bayesian methods, and clinical trials.
Background
  • Research interests include the development of statistical and machine learning/artificial intelligence methods for impactful biomedical research, with a focus on advancing precision medicine and population health through the integration of big health data such as -omics, EHRs, and imaging data.