Summary
Cecina Morrow is a Data Science Consultant and PhD researcher in Computational Statistics and Data Science at the University of Bristol, combining a decade of applied data experience with academic rigor. Her work spans Bayesian decision analysis for climate adaptation, probabilistic linkage for health datasets, and precision mental healthcare analytics—bringing ecology-informed quantitative thinking to diverse domains. Skilled in R, Python, SQL, MATLAB, C++ and Git, she translates complex problems into reproducible data products and bespoke analyses for interdisciplinary teams. Notably, she has developed species distribution tools and taught programming to students, reflecting a talent for turning research code into usable, educational resources. Her background in ecology and mathematics gives her a rare perspective on linking environmental processes and statistical models to real-world decisions.
10 years of coding experience
6 years of employment as a software developer
Bachelor's degree, Biology and Mathematics, Bachelor's degree, Biology and Mathematics at Kenyon College
Doctor of Philosophy - PhD, Computational Statistics and Data Science, Doctor of Philosophy - PhD, Computational Statistics and Data Science at University of Bristol