Tao Ren
About Tao Ren
Tao Ren is a Principal Data Scientist at AmpUp, with a strong background in data science and engineering. He has held various roles at companies such as Turing AI and Insight Data Science, and has an academic background in Particle Physics and Astrophysics.
Current Role at AmpUp
Tao Ren serves as the Principal Data Scientist at AmpUp, a position he has held since 2022. In this role, he focuses on leveraging data science methodologies to enhance the company's operations and product offerings. His work involves analyzing complex datasets and developing predictive models to support strategic decision-making within the organization.
Previous Experience at Turing AI
Prior to his current role, Tao Ren worked at Turing AI, where he held two positions. He served as a Software Engineer for four months in 2022, contributing to software development projects. Before that, he worked as a Data & Product Engineer I to II from 2020 to 2022 for two years, where he was involved in data analysis and product development initiatives in the San Francisco Bay Area.
Education and Expertise
Tao Ren earned his Doctor of Philosophy (PhD) in Particle Physics & Astrophysics from the University of California, Riverside, where he studied from 2014 to 2019. He also holds a Bachelor of Science (BS) in Applied Physics from Hefei University of Technology, completed from 2010 to 2014. His educational background provides a strong foundation in scientific research and data analysis.
Research and Teaching Experience
During his academic career, Tao Ren gained significant research and teaching experience. He worked as a Graduate Student Researcher at the University of California, Riverside from 2015 to 2019, focusing on various research projects. Additionally, he served as a Graduate Teaching Assistant for five years, where he supported undergraduate students in their studies.
Internship and Early Career
Tao Ren's early career includes an internship as a Machine Learning / AI Intern at Neoboard in 2020, where he gained practical experience in machine learning applications. He also completed a Data Science Fellowship at Insight Data Science in 2020 for four months, further developing his skills in data science and analytics.