About


I am a computational social scientist with a background in evolutionary theory, behavior, and cultural change, and a passion for conserving biocultural diversity and improving social good and sustainability.



Past and present projects include:

Through the use of a data-centric scientific approach informed by experience in the biological and social sciences on how humans learn and behave, my work addresses the issues that arise from complex interactions between humans, society, and the environment.

  Curriculum Vitae   rewberl colostate edu

Education

Ph.D. Human Dimensions of Natural Resources2019
Graduate Certificate in Applied Statistics2017
Colorado State University, Fort Collins, CO

Relevant Coursework

Quantitative
Linear Algebra; Regression Models; Generalized Regression Models; Probability; Mathematical Statistics; Computational, Graphical, & Simulation Methods; Machine Learning; Industrial & Organizational Statistics
Domain Expertise
Human Dimensions of Natural Resources; Anthropology & Sustainable Development; Indigenous Environmental Stewardship & Law
Communication
Citizen Science; Science Communication


M.S. Zoology2015
Washington State University, Pullman, WA

Relevant Coursework

Quantitative
Variance Designed Experiments; Statistical Programming with R; Agent-Based Models & Simulation
Domain Expertise
Population Genetics; Quantitative Genetics; Mathematical Genetics; Advanced Evolutionary Genetics; Evolutionary Ecology; Animal Behavior; Human Evolution; Evolutionary Cultural Anthropology
Communication
Teaching Practicum; Grant Writing


B.A. Biological Sciences, Honors2009
B.A. Anthropology, Honors2009
University of Delaware, Newark, DE

Relevant Coursework

Quantitative
Analytic Geometry & Calculus; Statistical Methods; Biological Data Analysis
Domain Expertise
Genetics & Evolutionary Biology; Population Ecology; Physical Anthropology; Social & Cultural Anthropology; Human Evolution; Human Nature; Technology & Culture; Psychology; Personality
Communication
Writing, Research, & Presentation; Oral Communications


Online Coursework

Data Science
Data Scientist’s Toolbox; Getting & Cleaning Data; Exploratory Data Analysis; Reproducible Research (Coursera/Johns Hopkins University)
Python
Google's Python Class (Google for Education); Python (Codecademy); R Programming (Coursera/Johns Hopkins University); Programming for Everybody; Python Data Structures (Coursera/University of Michigan); Interactive Programming in Python I (Coursera/Rice University)
Quantitative
Multivariable Calculus (MIT OpenCourseWare)
Domain Expertise
Genomic Technologies (Coursera/Johns Hopkins University)

Skills

R
RStudio; RMarkdown; tidyverse (dplyr, tidyr, ggplot2, etc.); shiny; tm; psych; lavaan; semTools; network; sna; sp; car (and many more!)
Python
Anaconda; Jupyter Notebook; pandas; numpy; matplotlib
Databases
SQL
Data Analysis Tools
(Other than R and Python)
MATLAB
SAS
JMP
SPSS
Minitab
Excel
Technical Tools
CLI (Unix, Windows)
Markdown
LaTeX
Git
ArcGIS
Photoshop
Flash
Languages
(Other than R script and Python)
HTML/CSS
Logo/NetLogo
Java
JavaScript