Joshua Stipancic
About Joshua Stipancic
Joshua Stipancic is a Data Scientist based in Montreal, Quebec, with a focus on applying data collection technologies to enhance urban road safety. He has held various academic and research positions, including roles at HEC Montréal and McGill University, and currently works at Intact.
Current Role at Intact Financial Corporation
Joshua Stipancic has been employed as a Data Scientist at Intact Financial Corporation since 2021. In this role, he applies his expertise in data analysis and modeling to enhance the company's data-driven decision-making processes. His work focuses on utilizing advanced data collection technologies to address challenges in road safety, particularly in urban settings.
Previous Experience at HEC Montréal
Joshua Stipancic worked at HEC Montréal in various capacities. He served as a Postdoctoral Researcher from 2018 to 2021, where he conducted research on data collection technologies and their applications in urban road safety. Additionally, he was a Course Instructor from 2019 to 2021, teaching courses related to data science and engineering.
Teaching and Research at McGill University
At McGill University, Joshua Stipancic held multiple roles over a span of four years. He was a Teaching Assistant from 2014 to 2018, supporting undergraduate students in their coursework. In 2017, he also served as a Course Instructor for 11 months. His academic journey at McGill culminated in earning a Doctor of Philosophy (PhD) in Civil Engineering, which he completed in 2018.
Educational Background in Civil Engineering
Joshua Stipancic holds a Bachelor of Applied Science (BASc) in Civil Engineering from the University of Waterloo, which he obtained from 2008 to 2013. He further advanced his education at McGill University, where he earned a PhD in Civil Engineering between 2013 and 2018. His studies focused on developing innovative methodologies for road safety analysis.
Specialization in Road Safety Technologies
Joshua Stipancic specializes in the development of crash prediction models aimed at improving road safety. He has a strong focus on emergent data collection technologies and surrogate measures of safety, which allow for the assessment of road safety without relying solely on crash data. His research contributes to enhancing urban transportation systems.