Ronan Keane

Ronan Keane has diverse work experience across various industries. Ronan began their professional journey with an internship as an R&D Engineer at EasyMile in 2023. Prior to that, they worked at Hyperloop Supaero as an Electronics and Software Team Member from February 2022 to March 2023. In this role, Ronan was responsible for designing and building software for the Hyperloop system, including a graphical user interface (GUI) using Python QT. Additionally, they gained experience as a Summer Research Intern at ISAE-SUPAERO from June to September 2022. Ronan also has experience in coaching, having worked as a Rugby Coach at St. Michael's College from September 2019 to June 2021. Earlier in their career, they worked as a Bartender at The Merrion Inn from December 2017 to August 2019. Ronan also served as a Sailing Instructor at the Irish National Sailing & Powerboat School from September 2017 to June 2018. Furthermore, they volunteered as a Teaching Assistant at the Tiernan Byrne Memorial Maths and Coding Workshop in May 2017.

Ronan Keane began their education at St. Michael's College in 2011 and completed their studies there in 2017. Although the specific degree or field of study is not provided for this period, it can be assumed that they received a general education during this time.

After completing their education at St. Michael's College, Ronan went on to pursue a Bachelor's degree in Mechanical Engineering from University College Dublin. Ronan attended the university from 2017 to 2021.

Following the completion of their Bachelor's degree, Ronan enrolled at ISAE-SUPAERO, where they pursued a Master's degree in Aerospace Engineering. Ronan attended ISAE-SUPAERO from 2021 to 2023.

In addition to their formal education, Ronan obtained certifications in various fields. Ronan completed a course in Motion Planning for Self-Driving Cars at Coursera in June 2023. In September 2022, they obtained a certification in Tweet Emotion Recognition with TensorFlow, also from Coursera. Furthermore, Ronan completed a course in Applied Machine Learning in Python at Coursera in July 2022.