Welcome! I'm
Hongjie (Harry) Qian | 钱鸿颉

I am a PhD student in Pharmacoepidemiology 药物流行病学 at Rutgers University 罗格斯大学 affiliated with:

• Center for Pharmacoepidemiology and Treatment Sciences (PETS), Institute for Health, Health Care Policy and Aging Research (IFH)
• Center for Health Outcomes, Policy, and Economics (HOPE)

My main research focuses are pharmacoepidemiology and outcomes research in medication effectiveness and safety and real-world evidence generation.

To learn more, download my CV for a future view.

What I focus on...

As a trained biostatistician with solid pharmacy training, I am enthusiastic about analysis & modeling in medication outcomes, harnessing quantitative methods and causal inference to investigate real-world evidence (RWE) in the context of pharmacy, pharmaceutical sciences and public health.

Through drug development pipelines, I have expertise in these aspects:

• Pharmacoepidemiology 药物流行病学: Evaluating drug safety (e.g., DDIs, polypharmacy & deprescribing) and policy-driven health disparities via advanced causal inference methods.
• Real World Data 真实世界数据: Analyzing large-scale claims, EHRs, PROs, and surveys for actionable insights into pharmacy delivery and population health.
• Quantitative Clinical Pharmacology 定量临床药理学: Applying statistical & mechanistic PK modeling to assess therapy outcomes and individualize treatment strategies.

Education

Doctor of Philosophy,
Public Health – Pharmacoepidemiology

Graduate Certificate in Health Outcomes, Policy, and Economics

Rutgers University (2025.09 – Present)

Profile
Principal Investigator: Chintan Dave, PharmD, PhD (Pharmacoepidemiology)
Research focus: Cardiovascular & Geriatric Pharmacoepidemiology, Caulsa Inference, Real-World Evidence, Health Economics & Outcomes Research, Comparative Safety & effectiveness.

Industry Experiences

AI & Automation in Oncological PK/PD Modeling

Hayward, CA. 2025.06 – 2025.08

Research Intern in Clinical Pharmacology, Arcus Biosciences.
Mentor: Ian Linsmeier, PhD, MS

ICD-10 Code Disease Severity Modeling

La Jolla, CA. 2024.06 – 2024.09

Research Intern in R&D Data Science & Digital Health - Global Development, Johnson & Johnson Innovative Medicine.
Mentor: Meagan Rubel, PhD, MPH