Yuanqing Liu is a PhD student in the Department of Biostatistics & Informatics at the Colorado School of Public Health, University of Colorado Anschutz.
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- MA in Biostatistics, Brown University
- B.Econ in Insurance, Shanghai University of Finance and Economics
- Thesis Adviser: Alex Kaizer, PhD
- Research Interests: Adaptive trial design, Bayesian modeling
What led you to choose the ColoradoSPH Biostatistics & Informatics Department for your PhD studies?
The ColoradoSPH Biostatistics & Informatics Department offers many exciting opportunities for graduate students to engage in both methodological and collaborative research. I was also impressed by the supportive mentoring environment in the department based on the positive feedback I received from enrolled students.
Why did you choose to study biostatistics?
I was drawn to study biostatistics as I am interested in developing and applying statistical methods to address important scientific questions in biomedical and clinical research.
What has been your favorite class so far?
My favorite class has been Advanced Statistical Methods and Analysis (BIOS 6624). The course helped me develop practical statistical analysis skills through hands-on projects covering a variety of topics in biostatistics.
How would you describe the student community in the department?
The student community in the department is vibrant and supportive. There are many activities that help strengthen connections among students, including BSA happy hours, student presentations, and volunteer events.
Tell us about a project you are currently working on that you are excited about.
I am currently working on a research project, which focuses on developing statistical methods that combine adaptive enrichment design with sample size re-estimation in clinical trials. These two approaches are often used separately in adaptive trial design, and our proposed framework aims to integrate them to improve trial efficiency.
What advice would you give to prospective students applying to this program?
For students interested in applying to this program, I would recommend building a strong foundation in calculus, linear algebra, and statistics, as they are important for graduate-level statistical theory courses. Strong coding skills are also very helpful for coursework and research. Finally, I would encourage prospective students to gain research experience during their undergraduate or master’s studies.
What do you like to do outside of research? Or What do you like about living in Colorado?
Colorado is a great place for people who enjoy hiking, skiing, and spending time in nature with its nice weather and easy access to outdoor activities.
