معرفی
Kelly Ramsay is an Assistant Professor in the Department of Mathematics and Statistics at York University, Faculty of Science, Toronto, Canada. Her research is focused on developing nonparametric and robust statistical tools for complex data, with a strong emphasis on differential privacy, functional data analysis, and high-dimensional statistics. She bridges theoretical statistics with real-world applications and computational implementation.
Education:
- PhD in Statistics, University of Waterloo (2018–2022)
- MSc in Statistics, University of Manitoba (2016–2018)
- BSc (Honours) in Statistics and Actuarial Science, University of Manitoba (2012–2016)
Her research interests include differential privacy, robust inference, functional data, changepoint detection, and data depth. She develops methods that are both theoretically sound and computationally feasible, with applications in f-MRI and privacy-preserving data analysis. Her work often integrates simulation studies and real data applications, reflecting her background in statistical consulting and technical analysis.
The recent trend in her publications centers on differentially private statistical methods, particularly for multivariate and functional data. She has made significant contributions to differentially private medians, boxplots, scale testing, and changepoint detection, leveraging data depth and robust estimation techniques. Her work combines theoretical guarantees with practical utility in sensitive data environments.
Scientific Awards and Funding:
- NSERC Discovery Grant (2023)
- NSERC Launch Supplement (2023)
- Canada Graduate Scholarship - Doctoral (NSERC, 2019)
- Sprott Scholarship, University of Waterloo (2021)
- Canada Graduate Scholarship - Masters (NSERC, 2016)
- SSC Student Presentation Award (2017)
- Outstanding Research by an M.Sc. Student, University of Manitoba (2019)
Kelly Ramsay has extensive experience in statistical consulting and applied data analysis, having worked at the University of Waterloo and Bison Transport. She has contributed to R packages and large-scale web scraping projects. She actively presents her research at major conferences such as ICORS, SSC, JSM, and SIAM/CAIMS. She has collaborated with researchers including Shoja Chenouri, Dylan Spicker, and Aukosh Jagannath. There is no indication of advising graduate students yet, but her collaborative research suggests strong mentorship and teamwork.
She is involved in academic seminars and research days at institutions such as McGill University and through CANSSI. Her work is disseminated via arXiv, peer-reviewed journals, and conference proceedings, highlighting her active role in the statistical research community.
