Ji Meng Loh, PhD, a statistician whose work has implications for advances in fields ranging from functional magnetic resonance imaging and epidemiology to telecommunications and astronomy, was recently appointed to the faculty of NJIT’s College of Science and Liberal Arts an associate professor in the department of mathematical sciences.
Before coming to NJIT, Loh was a principal member of the technical staff at AT&T Labs. He has taught at Victoria University, New Zealand, Anderson Junior College, Singapore, the University of Chicago and Columbia University. Loh has served as a research fellow at SAMSI — the Statistical and Applied Mathematical Sciences Institute.
Loh’s research can be broadly classified into three types: applied spatial data analysis and visualization that helps to answer questions raised by the work of collaborators, the development of statistical methodology to make better inferences from spatial data, and working out the theory to support methodology. Many data sets are inherently spatial and/or temporal, and in a growing range of applications investigators are finding that it's important to incorporate spatial and temporal correlations into their models.
His research has received support from the Robert Wood Johnson Foundation and National Science Foundation. As co-investigator for a Robert Wood Johnson Healthy Eating Research Grant, Loh researched the “inequality” of New York City’s food environment including the determinants of fast food density, spatial distribution, and store operation.
Loh received a bachelor’s degree from Victoria University, New Zealand, a doctorate in statistics from the University of Chicago and a postgraduate diploma in education from the National Institute of Education, Singapore.
Last update: January 16, 2013
Topics: functional magnetic resonance imaging, epidemiology, telecommunications, astronomy