Chi-Shian Dai

Welcome!

I am Chi-Shian Dai, a passionate statistician specializing in data integration, causal inference, functional data analysis, and high-dimensional statistics. My work aims to address complex challenges in epidemiology, clinical studies, and beyond.

Education

• Ph.D. in Statistics, University of Wisconsin-Madison
  Advisor: Prof. Jun Shao

• M.S. & B.S. in Mathematics, National Taiwan University
  Mentors: Prof.  Ching-Kang Ing & Prof. Hung Chen

Research

My research is grounded in developing and applying statistical methodologies to tackle real-world problems. I focus on integrating diverse data sources, deriving causal insights, and advancing high-dimensional and functional data analysis.

Professional Experience

• Biostatistician, St. Jude Children’s Research Hospital,
  Supervised by: Dr. Li Tang
  Worked on innovative statistical solutions for pediatric research.

• Quantitative Analyst Intern, Manteio Capital, Fall 2022
  Contributed to quantitative risk research and financial risk modeling.

• Merck Biostatistics and Research Decision Sciences (BARDS) Intern, Summer 2022
  Developed a methodology to handle binomial-type longitudinal missing data for health technology assessments, advancing tools for better decision-making in the healthcare industry.

Academic Appointment

In Spring 2025, I will join the Department of Statistics at National Cheng Kung University as a faculty member, where I aim to inspire students and collaborate on impactful research.