Two Cornell doctoral students in the field of Statistics and Data Science earned top honors in the American Statistical Association’s Student Paper competition and will present at the Joint Statistical Meetings in August.
Inbeom (Daniel) Lee (above left) won Best Student Paper in ASA’s Statistical Learning and Data Science section with his research "Optimal Variable Clustering for High-Dimensional Matrix Valued Data," which was one of five winning papers from more than 85 submissions. Lee is advised by: Yang Ning, associate professor; Marty Wells, chair and the Charles A. Alexander Professor of Statistical Sciences, and James Booth, professor.
Haoxuan (Peter) Wu won Best Student Paper in ASA’s Business and Economics Statistics section with his work, "Functional Stochastic Volatility.” Wu is advised by: David Matteson, associate department chair and associate professor; David Ruppert, professor, and Thorsten Joachims, professor of computer science and information science.
Both will present their papers in respective topic sections of the Joint Statistical Meetings (JSM) in August.