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Tommaso D'Amico has a diverse work experience spanning various roles and industries. Tommaso is currently working as a Data Scientist at JUDI.AI since February 2022. Prior to this, they worked as a Graduate Research and Teaching Assistant at The University of British Columbia from September 2019 to March 2022.

In 2018, Tommaso was a Fusion 360 CAD Developer at Wintergatan Marble Machine X, where they were a member of the engineering development team for the Marble Machine X Ondophone Instrument Design. Tommaso collaborated with engineers, musicians, and instrument builders on this interdisciplinary project.

From 2016 to 2019, they worked at Melt Collective, a senior technical consultant from October 2018 to September 2019, engineering team lead from September 2017 to September 2018, and technical lead & safety officer from September 2016 to September 2017.

In 2015, Tommaso had a brief internship as an International Student Intern at JESA Investment and Management Co., Ltd/JESA Capital.

Overall, Tommaso D'Amico's work experience showcases their expertise in data science, research, teaching, engineering development, technical consulting, and leadership roles.

Tommaso D'Amico pursued their education in a chronological manner. Tommaso completed their Bachelor's Degree in Integrated Engineering from The University of British Columbia, where they studied from 2014 to 2018. Prior to that, they attended the British International School Shanghai for their High School education from 2012 to 2014. Tommaso also attended the International School Turin for a year, completing their High School education in 2012.

After obtaining their Bachelor's Degree, Tommaso D'Amico continued their education at The University of British Columbia, completing a Master of Applied Science (MASc) degree from 2019 to 2021. During their educational journey, they also obtained several additional certifications related to self-driving cars. These certifications include "Motion Planning for Self-Driving Cars," "Self-Driving Cars Specialization," "State Estimation and Localization for Self-Driving Cars," "Visual Perception for Self-Driving Cars," and "Introduction to Self-Driving Cars," all obtained from Coursera in 2019.