Thank you for your interest in the Computational Statistics and Data Analytics (CSDA) Lab.
The CSDA Lab conducts research in trustworthy AI, statistical learning, uncertainty quantification, precision health analytics, and AI-driven decision support systems. Students work on interdisciplinary projects that combine statistics, machine learning, artificial intelligence, and domain-specific applications in health, engineering, and society.
We welcome motivated undergraduate and graduate students interested in research and professional development in:
Students may participate in:
Prior experience in programming (R, Python, or related languages) is helpful but not required. Students with strong quantitative backgrounds and a willingness to learn are encouraged to apply.
Research assistant opportunities may be available for graduate students and highly motivated undergraduate students.
Preferred backgrounds include:
Successful applicants typically demonstrate strong analytical skills, curiosity, professionalism, and an interest in collaborative research.
Students interested in joining the CSDA Lab should email:
Please include: