Accelerate Diagnostics
Shitij Seth is a Data Scientist at Accelerate Diagnostics, where responsibilities include designing and implementing a scalable end-to-end machine learning algorithm training pipeline that has improved model development and deployment efficiency by 40%. Previously, Shitij served as an Associate Data Scientist and Research Assistant at the University of Arizona, contributing to the Event Horizon Telescope group on the Black Hole PIRE project. Shitij has worked with Tech4stress Inc. as a Data Scientist, developing a knowledge-based recommender system and creating a custom CNN architecture for sentiment-based image classification. A foundational experience includes an internship as a Data Analyst at Spectral Instruments, focusing on data from a CMOS detector. Shitij holds a Bachelor of Science in Applied Mathematics, Physics, and Astronomy from the University of Arizona and a Higher Secondary Certificate from La Martinere College.
Accelerate Diagnostics
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Fully automated antibiotic susceptibility results with MICs direct from positive blood cultures using the Accelerate Pheno™ System.