Ting has more than 25 years of experience conducting survey research and working on various aspects of designing and implementing large-scale federal surveys. She has published extensively on survey methodology, including a book on questionnaire design and evaluation, and seminal articles on sensitive questions, response burden, scale direction effects, and the use of machine learning to evaluate data quality, and so on. Her current research interests focus on multimode survey designs, applying data science techniques to evaluate data quality in the multimode and multidata environment, and integrating artificial intelligence throughout the survey lifecycle to enhance efficiency and improve quality.

Ting is a long-time member of the American Statistical Association (ASA) and the American Association for Public Opinion Research (AAPOR). She served on the executive committee of the European Survey Research Association, chaired AAPOR's Diversity Subcommittee, and was the co-editor-in-chief for the Journal of Survey Statistics and Methodology. She served on the organizing committee for the 2024 International Total Survey Error Workshop and the 2030 Census Advisory Committee. She is currently on the AAPOR Executive Council in the role of associate secretary – treasurer.

Prior to joining NORC, Ting was a vice president at Westat, leading its Survey Methods Unit and serving on various committees and task forces aimed at improving the efficiency of data collection and survey data quality. Before Westat, she worked at the University of Michigan as a research assistant professor and at Abt Global. She also held a previous position at NORC. She is an adjunct faculty member for the Joint Program in Survey Methodology (JPSM) and the Program in Survey and Data Science, University of Michigan, teaching graduate-level courses and serving on dissertation committees.