Dongying received her master’s degree from the University of British Columbia in Fall 2017. She is currently a PhD student studying the Data Sharpening methods in kernel regression. During her PhD program, she participated some part time projects which focued on the Variable Selection with high dimensional dataset. Dongying works mainly with R and MATLAB to do the modeling and simulations, but is also familiar with Python. Her inerests lies in Data Sharpening, Variable Selection and Data Analysis.
MSc - Mathematics (Optimization)
The University of British Columbia