Juan Pablo Ruz Cuen
About Juan Pablo Ruz Cuen
Juan Pablo Ruz Cuen is a Jr. Data Scientist at ClimateAI, where he has worked since 2021. He holds a B.S. in Engineering Physics from Tecnológico de Monterrey and has experience in research, teaching, and laboratory assistance.
Work at ClimateAI
Juan Pablo Ruz Cuen has been employed as a Junior Data Scientist at ClimateAI since 2021. In this role, he contributes to data analysis and modeling efforts aimed at addressing climate-related challenges. His work involves utilizing data science techniques to support the company's mission of leveraging technology for climate resilience.
Education and Expertise
Juan Pablo Ruz Cuen studied at the École polytechnique fédérale de Lausanne (EPFL), where he completed an exchange program in Physics for 11 months in 2021. He also earned a Bachelor of Science in Engineering Physics from Tecnológico de Monterrey, where he studied from 2017 to 2021. His academic background provides a strong foundation in both physics and engineering principles.
Background
Juan Pablo Ruz Cuen has a diverse educational and professional background. He participated in an exchange program at EPFL for five months in 2021, gaining international experience in a research-focused environment. Additionally, he has been involved in various roles at Tecnológico de Monterrey, including Researcher, Teaching Assistant, and Laboratory Assistant, contributing to both academic and practical applications of his studies.
Research and Teaching Experience
Currently, Juan Pablo Ruz Cuen serves as a Researcher at Tecnológico de Monterrey, a position he has held since 2020. His previous roles at the institution include serving as a Teaching Assistant for six months in 2020 and as a Laboratory Assistant for 11 months from 2019 to 2020. These experiences have allowed him to develop skills in research methodologies and instructional support.
Transition to Product Management
Juan Pablo Ruz Cuen has transitioned from a focus on engineering physics to product management. This shift indicates his adaptability and interest in applying his technical knowledge in a broader context, likely involving the development and management of products that leverage data science and engineering principles.