معرفی
Matt Higham is an Assistant Professor at St. Lawrence University in the Math, Computer Science, and Statistics Department. His research focuses on Spatial Statistics with ecological applications, particularly Spatial Prediction Models that account for imperfect detection of animals in surveys.
Education:
- PhD in Statistics from Oregon State University (2019)
- B.S. in Statistics and Botany from Miami University (2014)
Research interests involve developing statistical methodologies for ecological applications, including spatial sampling, spatio-temporal modeling, and imperfect detection adjustment in wildlife surveys. He contributes to R software packages like spmodel and sptotal for spatial data analysis.
Recent publications demonstrate trends in spatial statistics (4/7 articles), ecological modeling (5/7 articles), and statistical software development (2/7 articles). Key subfields include spatial prediction, block kriging, finite population estimation, and big spatial data handling.
Teaching activities include courses in Introduction to Statistics, Applied Regression Modeling, Foundations of Data Science, and Data Visualization. Personal interests include racket sports, jogging, gaming, hiking, and backpacking.
