Diana Giulietti's work experience begins in 2011 as a Research Assistant at Lafayette College, where they studied protein oligomerization. Diana then worked as an REU Fellow at Auburn University in 2011, focusing on developing a controlled release drug delivery system. In 2012, they interned at Hamilton Sundstrand, gaining experience in material science and engineering. From 2013 to 2014, they worked as a Failure Analysis Engineer at UTC Aerospace Systems, specializing in contamination analysis. In 2015, they transitioned to the role of Additive Manufacturing Research & Development Engineer at the same company, contributing to the implementation of additive manufacturing across UTAS. In 2018, they became an Additive Manufacturing Process Engineer at United Technologies Research Center, where they established standards and procedures for laser powder bed fusion. In 2019, they worked as a Creative Technologist, developing an android application and engineering LED dance suits. From 2021 to 2023, they served as a Solutions Engineer at Indico Data, transforming unstructured data into actionable insights. Most recently, they joined Found Energy in 2023 as a Research and Development Scientist.
Diana Giulietti pursued their education in a chronological order as follows:
From 2002 to 2009, they attended Watkinson High School and obtained their high school degree.
Diana Giulietti then attended Lafayette College from 2009 to 2013. Here, they pursued a Bachelor of Science degree with a focus on Chemical Engineering and Biotechnology.
In 2011, Diana Giulietti briefly attended Jacobs University Bremen, where they did not complete a degree or field of study.
Following this, from 2015 to 2018, they attended the University of Connecticut and completed a Master of Science (M.S.) degree in Material Science and Engineering.
In terms of additional certifications, Diana Giulietti received a Data Science certification from General Assembly in February 2021. In June 2020, they obtained an edX Verified Certificate for CS50's Introduction to Computer Science from edX.
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