Anusha is a Ph.D. student in the Department of Environmental Science, Policy, and Management with a background in ecology and evolutionary biology. She is interested in genomics, spatial ecology, and computational biology. Currently, she conducts research on landscape and ecological genomics in the Wang Lab. She also has experience as a Teaching Assistant/Graduate Student Instructor for courses on statistics and data science as well as landscape ecology and environmental science methods.
Python, R, Cloud & HPC Computing, Data Sources, Data Visualization, Geospatial Data, Maps & Analysis, Machine Learning, Research Design, Causal inference, Cluster analysis, Experimental design, Hierarchical Models, High dimensional statistics, Means Tests, Nonparametric methods, Regression Analysis, Software Output Interpretation, Spatial statistics, Bash or Command Line, Excel, Git or Github, RStudio
