Shanshan Ding
About Shanshan Ding
Shanshan Ding is the Director of Data Science at Hinge, where she has worked since 2018. She has a diverse background in data science and machine learning, with previous roles at various institutions including Columbia Business School, Urban Compass, and New York University.
Current Role at Hinge
Shanshan Ding serves as the Director of Data Science at Hinge, a position she has held since 2018. In this role, she leads data-driven initiatives and oversees machine learning projects aimed at enhancing user experience on the platform. Her expertise in data science contributes to the development of algorithms that support Hinge's mission of fostering meaningful connections.
Previous Experience at Hinge
Prior to her current role, Shanshan Ding worked at Hinge as a Lead Machine Learning Engineer from 2017 to 2018. During her tenure, she focused on implementing machine learning models and data analysis techniques to improve the app's functionality. This experience laid the groundwork for her advancement to Director of Data Science.
Education and Expertise
Shanshan Ding earned her PhD from the University of Pennsylvania, where she also served as a Graduate Research and Teaching Fellow from 2008 to 2014. Additionally, she holds a BA from Columbia University in the City of New York. Her academic background provides a strong foundation for her work in data science and machine learning.
Professional Background
Shanshan Ding has a diverse professional background in data science. She has held various positions, including Data Scientist at Gilt and Urban Compass, and Senior Data Scientist at Urban Compass. Her early career included roles at Yp and Columbia Business School, where she gained valuable research experience. This varied experience has equipped her with a broad skill set in data analysis and machine learning.
Teaching Roles
In addition to her industry roles, Shanshan Ding is involved in academia as an Adjunct Faculty Member at Columbia University in the City of New York since 2020. She previously served as an Adjunct Instructor at New York University in 2015. Her teaching roles reflect her commitment to educating the next generation of data scientists.