Summary
Kylie Curtis is a research ecologist and data-savvy biological science technician with nine years of experience applying statistical modeling, GIS, and database management to wildlife and water resource questions. Currently supporting the USGS and California Department of Fish and Wildlife, she synthesizes large, historic and contemporary datasets to produce population estimates, predictive models, and clear deliverables for managers and the public. She pairs extensive field and lab experience—surveying mule deer, mountain lions, bighorn sheep, and coastal species—with reproducible analysis in R and Python and a growing interest in web tools like Vue.js. Kylie has a strong track record of translating complex ecological data into actionable monitoring protocols and user-friendly models delivered to agencies. Based in San Diego with an MS in Ecology, she thrives in fast-paced, deadline-driven projects and is looking to apply her hybrid field-to-code skillset beyond traditional ecology roles.
9 years of coding experience
2 years of employment as a software developer
Bachelor’s Degree, Biology/Biological Sciences, General, 3.82, Bachelor’s Degree, Biology/Biological Sciences, General, 3.82 at St. Mary's College of Maryland
Master's degree, Ecology, 3.82, Master's degree, Ecology, 3.82 at San Diego State University