Amber Lenon is an accomplished Data Analyst at iRobot, where support is provided to the Adjacent Innovations team since November 2021. Prior experience includes serving as a Graduate Research Assistant at Syracuse University, focusing on data munging algorithms and developing open-source software for gravitational-wave astrophysics from January 2020 to July 2021. Amber also held positions as a Research Assistant at West Virginia University, creating modeling code in Bash and Python, as well as an internship at Fermilab, where leadership was demonstrated in organizing the Dark Energy Survey summer internship. Additionally, Amber contributed to the Syracuse University Gravitational Waves Group, analyzing data for significant gravitational wave detections. Educational background includes a PhD in Physics from Syracuse University, an MS in Physics from West Virginia University, and a BS in Physics from Syracuse University.
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