Tate Tunstall is a machine learning scientist who currently works for MyOme. Tate has also worked as a data scientist for FocusVision and as a bioinformatics scientist for the Institute for Conservation Research at the San Diego Zoo.
Tate's work as a machine learning scientist has focused on developing natural language processing and object recognition solutions for market research tools. Additionally, Tate has built the AI back end for the Decipher Word Importer.
As a data scientist at FocusVision, Tate developed natural language processing and object recognition solutions for market research tools. Additionally, Tate built the AI back end for the Decipher Word Importer.
At the Institute for Conservation Research, Tate worked on genomics projects for the Northern White Rhino and other endangered species.
Tate Tunstall has a PhD in Integrative Biology from the University of California, Berkeley, as well as a Bachelor's degree in the same field. They are also a graduate of The Data Incubator program.
Current role
Director - Labor Engineering And Forecasting at The Home Depot
Principal Supply Chain Continuous Improvement Analyst at The Timken
VP Of Engineering - Core Productivity at GitHub
Chief Architect, Health & Life Sciences at Red Hat
Operations Research Director at Dematic
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