Jakob Elias is a computer scientist and data analyst working on Argonne’s Manufacturing Science and Engineering Initiative. Elias is the lead developer for the Manufacturing Data and Machine Learning Platform (MDML). The goal of the MDML is to provide researchers with a software stack that enables streaming, storage, visualization, and analysis of experimental data in near real-time.

Elias started at Argonne in 2017 as a co-op student for the University Partnership Project. He holds an M.S. in Applied Statistics and a B.S. in Statistics from Loyola University Chicago.