معرفی
Qi Long is a Professor at the University of Pennsylvania, holding joint appointments in the Department of Biostatistics, Epidemiology and Informatics (Perelman School of Medicine), Department of Computer and Information Science (School of Engineering and Applied Science), and Department of Statistics and Data Science (The Wharton School). He serves as Founding Director of the Center for Cancer Data Science, Associate Director of the Penn Institute for Biomedical Informatics, and Associate Director for Quantitative Data Science at the Abramson Cancer Center. His research bridges statistical and machine learning (ML/AI) method development with biomedical applications, focusing on precision medicine and population health.
Education: Ph.D. (2005) and M.S. (2003) in Biostatistics from University of Michigan; B.S. (1998) in Computer Science from University of Science and Technology of China.
Research interests include:
- Robust statistical and ML/AI methods for big health data (-omics, EHRs, imaging, mHealth)
- Multimodal data integration and subgroup heterogeneity analysis
- Missing data, causal inference, Bayesian methods, and clinical trials
- Data privacy, algorithmic fairness, and responsible AI in healthcare
- Foundation models and agentic AI for biomedicine
His publications focus on privacy-preserving AI, fairness-aware ML, and integrative models for multi-omics and EHRs. Recent work explores LLMs and watermark detection in hybrid human-AI settings.
Scientific Awards:
- Elected fellow: AAAS, ASA, IMS, ISI, AMIA
He leads large NIH- and ARPA-H-funded initiatives, directing statistical coordinating centers for national clinical trials. His lab trains numerous PhD/Master’s students and postdocs, many of whom hold prestigious academic or industry positions.
