Daniel Sheahan

Daniel Sheahan has a diverse work experience in various roles. Daniel currently works as a Data Engineer at Elemental Machines, where they are responsible for their connected platform for accelerating science. Prior to this, Daniel worked at Raytheon as a Senior Systems Engineer from June 2017 to November 2020. In this role, they led a machine learning research team focusing on C5I, prognostics, and anomaly detection. Daniel also developed a Django web application to automate the ingestion and analysis of radar data. Before Raytheon, Daniel had an internship as a Mechanical Engineering Intern at DEKA Research & Development in 2016. Daniel also worked as an ASSIST Research Intern at the Lighting Research Center at Rensselaer Polytechnic Institute in 2015. During this time, they designed and conducted an accelerated life test of mid-power LEDs. This research culminated in a final presentation broadcasted to the Alliance for Solid-State Illumination Systems and Technologies.

Daniel Sheahan obtained a Master's Degree in Mechanical Engineering from the University of Massachusetts Amherst from 2016 to 2017. Prior to that, they completed their Bachelor's Degree in Mechanical Engineering at the same university from 2012 to 2016. In terms of additional certifications, they have a Six Sigma Yellow Belt from the Institute of Industrial Engineers. No specific information regarding the month and year of obtaining the certification is provided.