Summary
Samuel Johnston is a Senior Software Engineer with 11 years of experience applying computational linguistics and Python to real-world data problems, currently building software at Climate. He holds a Ph.D. in Computational Linguistics from the University of Arizona and has a strong research background in phonetics, speech recognition, and automated speech synthesis. Samuel’s career bridges academia and industry—from designing high-throughput data collection pipelines and Praat-based phonetic analysis to testing and hardening production systems at The Climate Corporation. He has consulted on DARPA’s D3M program, helping shape early prototype requirements for automated model discovery, which reflects his knack for turning research insights into practical tooling. Based in Tremont, Illinois, he combines deep language-tech expertise with pragmatic engineering—often automating tedious workflows with Python to accelerate data-driven projects.
11 years of coding experience
5 years of employment as a software developer
The University of Arizona
Bachelor of Arts (B.A.), Linguistics, Bachelor of Arts (B.A.), Linguistics at University of Toledo
Associate's Degree, Foreign Language, Associate's Degree, Foreign Language at Illinois Central College