Jialin Dong is a Ph.D. student of Environmental Engineering at the UCI Olivares Lab.
董家麟是加州大学尔湾分校博士生。
Jialin's research interests include analysis of the ‘forever chemicals’ per- and polyfluorinated alkyl substances (PFAS) and oil pollution, combining environmental analysis with Data Mining Methods, especially Machine Learning.
她的研究兴趣是使用数据挖掘方法,尤其是机器学习,对被“永久化学品”全氟和多氟烷基物质 (PFAS) 污染的场地进行分析以及预测。
Environmental Contamination
Data Analysis
Machine Learning
Ph.D. in Civil and Environmental Engineering, 2021
M.S. in Civil and Environmental Engineering, 2019
B.E. in Civil and Environmental Engineering, 2014
University of California, Irvine
Carnegie Mellon University
Jilin University