Jingjing Chen
About Jingjing Chen
Jingjing Chen is a Machine Learning Research Engineer with a strong academic background in Astronomy and Astrophysics. She has worked at notable organizations such as Primer AI and Scale AI, contributing her expertise in data science and machine learning.
Work at ScaleAI
Jingjing Chen currently holds the position of Machine Learning Research Engineer at Scale AI. She has been with the company since 2022, contributing to various projects that leverage machine learning techniques to enhance data processing and analysis. Her role involves developing algorithms and models that support the company's mission to improve AI systems through high-quality data solutions.
Previous Experience at Primer AI
Prior to her current role, Jingjing Chen worked as a Senior Data Scientist at Primer AI from 2018 to 2022. During her time in San Francisco, California, she focused on applying data science methodologies to solve complex problems. Her experience at Primer AI allowed her to refine her skills in machine learning and data analysis.
Education and Expertise
Jingjing Chen has a strong academic background in Astronomy and Astrophysics. She earned her Bachelor's degree from Peking University, studying from 2009 to 2013. She furthered her education at Columbia University, where she obtained a Doctor of Philosophy (PhD) in the same field from 2013 to 2018. Additionally, she participated in exchange programs at The Chinese University of Hong Kong and the University of California, Santa Cruz, enhancing her expertise in Astrophysics.
Summer Analyst Role at The Rock Creek Group
In 2018, Jingjing Chen served as a Summer Analyst at The Rock Creek Group for two months in the Washington D.C. Metro Area. This role provided her with experience in financial analysis and data interpretation, contributing to her diverse skill set in data-driven environments.