Summary
Greg Chism is an Assistant Professor of Practice and data scientist with a PhD and over a decade of experience translating research-grade analytics into practical education, tools, and funded AI initiatives. He designs and teaches MS-level curricula in machine learning, visualization, and data mining for 100–150 students annually, supervises numerous clinical AI and EHR-focused capstones, and maintains automated, reproducible instructional pipelines (e.g., JupyterQuest+, ClinicalBERT, GitHub Actions–backed labs). Previously a research scientist, Greg published interdisciplinary work, developed widely used reproducible software like ABCTracker, and secured $300k+ in research funding. He’s mentored 100+ researchers, led regional research training events, and blends an R/RStudio evangelism with practical Python deployment—bringing a storyteller’s curiosity to data-driven problem solving. Based in Tucson, he focuses on ethical, interoperable AI systems and building communities that turn complex data into actionable impact.
8 years of coding experience
9 years of employment as a software developer
The University of Arizona
Bachelor of Science - BS, Zoology/Animal Biology, Bachelor of Science - BS, Zoology/Animal Biology at UC Santa Barbara