Mathematical Sciences

Professor Tony Ng is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), an elected member of the International Statistical Institute and a Fellow of the American Statistical Association (ASA). His research interests include computational statistics, network analysis, reliability theory, operations research, lifetime data analysis, nonparametric statistics, biostatistics, bioinformatics and statistical methods in epidemiology. Ng recently started developing statistical methodologies for network analysis and with applications in cybersecurity

Assistant Professor Eddie Kim conducts research at the intersection of applied statistics and education policy. He focuses on investigating statistical properties of education data and adapting advanced statistical methods to make causal inferences from non-experimental data. Topics of interest include testing and measurement, private tutoring and college admissions. Kim received a PhD in Education from Harvard University with his dissertation entitled “Statistical Explorations in Testing and Testing Culture.”