معرفی
Dr. Haidong Lu is an Assistant Professor of Internal Medicine at Yale School of Medicine, specializing in epidemiology and health data science. His research integrates causal inference methods with observational health data to inform clinical and regulatory decisions, particularly in substance use, HIV/AIDS, and pharmacoepidemiology. He holds a PhD from UNC Gillings School of Global Public Health and a pharmacy degree, enhancing his interdisciplinary expertise. Dr. Lu is affiliated with the Janeway Society and Program in Addiction Medicine, and serves as an Associate Editor for International Journal of Epidemiology and AJE Advances. His awards include the NIH/NIDA K99/R00 Award and the Lilienfeld Prize finalist recognition.
Research Interests:
- Causal inference methodologies
- Substance use disorders and opioid epidemiology
- HIV treatment outcomes and precision medicine
- Geographic health trends analysis
- Artificial intelligence in learning health systems
Publications Trends: Dr. Lu's work focuses on methodological advancements in causal inference while addressing real-world public health challenges like opioid addiction, HIV treatment optimization, and fentanyl-related mortality. His recent studies highlight innovative approaches to mitigating selection bias in observational studies and improving accessibility to substance use treatments.
Awards and Activities: In addition to editorial roles, he co-chairs the Design and Analysis Group (DAG) and founded the Yale Pharmacoepidemiology Workgroup. His research has been supported by NIH grants and collaborations with institutions like UNC and Johns Hopkins.
Labs/Teams: Active in addiction medicine research and interdisciplinary teams focused on causal inference and health equity initiatives at Yale.