Thank you for your interest in joining my research group!

🚀 I am actively recruiting Ph.D. and master’s students interested in developing novel statistical methods for solving important problems in environmental epidemiology, biomedical science, and public health.

Students in my group will develop statistical and machine learning methods for complex biomedical and public health data, with applications in environmental epidemiology, neuroscience, genomics, and precision medicine. I strive to foster a collaborative, supportive, and inclusive environment where students receive close mentorship, develop independence, and pursue impactful research. My goal is to help each student build the skills and confidence needed for a successful career in academia, industry, or government.

Before reaching out, please read the information below carefully. This will help you determine whether my research group is a good fit for your interests and background.

Ph.D. Students

I am actively recruiting Ph.D. students interested in developing novel biostatistical methods for environmental epidemiology, biomedical science, and public health.

Students in my research group pursue a Ph.D. in Epidemiology while conducting dissertation research focused on biostatistics. My group emphasizes the development of rigorous statistical methodology with applications to real-world public health and biomedical problems.

Current research areas include:

• Statistical learning
• Spatial statistics
• High-dimensional inference
• Environmental epidemiology
• Biomedical data science

Ideal Background

I welcome applicants with strong quantitative backgrounds in

• Statistics
• Biostatistics
• Mathematics
• Computer Science
• Data Science
• Engineering
• Physics
• Other quantitative disciplines

Experience with R, Python, and statistical computing is highly desirable.

Applicants should be enthusiastic about developing new statistical methodology, collaborating across disciplines, and applying quantitative methods to address important challenges in public health. I welcome applicants from both quantitative disciplines (e.g., statistics, mathematics, computer science, engineering) and epidemiology who are interested in rigorous methodological research.

Master’s Students

I also welcome inquiries from master’s students interested in gaining research experience through independent study or research assistantships.

Students may have opportunities to

• Participate in cutting-edge methodological research
• Develop statistical and machine learning methods
• Analyze large-scale biomedical and environmental datasets
• Contribute to conference presentations and peer-reviewed publications

Current Temple Master’s Students

Motivated Temple students with quantitative and programming backgrounds are encouraged to contact me directly regarding research opportunities. Feel free to stop by my office or schedule an appointment during my office hours to discuss potential projects and ways to get involved.

Prospective Students

If you are interested, please email me with:

• Your CV
• Unofficial transcript
• A brief description of
  • your research interests,
  • previous research experience,
  • programming experience
  • your academic background and relevant coursework
• Why you are interested in joining my group

What I Look For

I value students who are

• Curious and intellectually independent
• Self-motivated and responsible
• Passionate about statistical methodology
• Interested in interdisciplinary collaboration
• Excited to learn new mathematical, statistical, and computational techniques

Long-Term Opportunities

Students who make sustained contributions to the group may have opportunities to

• Co-author peer-reviewed publications
• Present at national and international conferences
• Contribute to grant-funded research
• Build a strong foundation for careers in academia, industry, or government

Contact

Please email me at qiuyi[dot]wu[at]temple[dot]edu.