👨🏻💻 About Me
Hi all, I am Jiapeng Xu (徐佳鹏). My MBTI is INFJ. I am currently a PhD candidate at the MRC Biostatistics Unit, University of Cambridge. I am supervised by Dr. Pavel Mozgunov and Dr. Thomas Jaki. Before starting my PhD, I worked as a Biostatistician, supervised by Dr. Ying Lu, in the Department of Biomedical Data Science at Stanford University. There, I conducted two years of full-time research in clinical trial design and discovered my true passion for this research area.
I hold a Master’s degree in Statistics from Columbia University and a Bachelor’s degree in Financial Mathematics, jointly awarded by the University of Liverpool and Xi’an Jiaotong-Liverpool University (XJTLU).
My research focuses on Clinical Trial Design, particularly in areas such as Early Phase Dose-Finding Trials, Adaptive Designs, and Historical Data Borrowing.
The overall goal of my work is to develop novel and rigorous statistical methodologies that enhance the efficiency of clinical trials (i.e., reducing enrolled patients, duration, and cost), thereby accelerating medical decision-making and ultimately benefiting patients in need.
🔥 News
Coming Soon!
📝 Publications
Journal Articles
Xu, J., Eijk, R. P. V., Ellis, A., Pan, T., Nelson, L. M., Roes, K. C., … & Lu, Y. (2025). On the two-step hybrid design for augmenting randomized trials using real-world data. Statistics in biopharmaceutical research, 1-24.
Xu, J., Bi, D., Fan, S. K., Lee, B. L., & Lu, Y. (preprint). Balancing the effective sample size in prior across different doses in the curve-free Bayesian decision-theoretic design for dose-finding trials. arXiv preprint arXiv:2503.16321.
Chang, C. T., Farah, H., Gui, H., Rezaei, S. J., Bou-Khalil, C., Park, Y. J., … & Xu, J., Daneshjou, R. (2025). Red teaming ChatGPT in medicine to yield real-world insights on model behavior. npj Digital Medicine, 8(1), 149.
Perez, L., Palenski, P., Adair, E., Contreras, L., Dorsonne, B., Hailu, A., … & Xu, J., Darnall, B. (2025). Can We Treat 100 Individuals at Once? Online 1-Session Empowered Relief in a National Sample of Marfan Syndrome and Related Disease. The Journal of Pain, 29.
Darnall, B. D., Perez, L., Kao, M.-C., Lorig, K., Mardian, A. S., Flood, P., Xu, J., et al. (Under review) Voluntary Patient-Centered Prescription Opioid Tapering and Comparative Effectiveness of Cognitive Behavioral Therapy and Chronic Pain Self-Management within the Context of Opioid Tapering: The EMPOWER study, Lancet.
Book Chapters
Fan, S., Lee, B. L., Lu, Y., & Xu, J. (2024). Monotonic Dose–Response and Curve-Free Designs for Phase I Dose-Finding Trials. In Dose Finding and Beyond in Biopharmaceutical Development (pp. 127-160). Cham: Springer Nature Switzerland.
💼 Employments and Internships
- Apr 2023 - Apr 2025, Biostatistician, Stanford University
- Jun 2022 - Sep 2022, Data Science Intern, Stable USA Inc
- Sep 2020 - Jul 2021, Data Analysis Intern, PwC Mainland China and Hong Kong
📖 Educations
- Oct 2025 - Present, PhD in Biostatistics, University of Cambridge
- Sep 2021 - Feb 2023, MA in Statistics, Columbia University
- Sep 2018 - Jul 2020, BS in Mathematics with Finance, University of Liverpool
- Sep 2016 - Jul 2018, BS in Financial Mathematics, Xi’an Jiaotong-Liverpool University (XJTLU)