Dr. Changchang Liu is a research staff member of IBM Research. Her expertise is security and privacy.
Over the last four years, she has been selected as a member of the committee of the Differential Privacy Synthetic Data Challenge, which is hosted by the Public Safety Communications Research Division at the National Institute of Standards and Technology (NIST).
The Differential Privacy Synthetic Data Challenge features a series of coding sprints to apply privacy methods to temporal map data.
Temporal map data is of interest to the public safety community in applications such as optimizing response time, natural disaster response, epidemic tracking, demographic data, and civic planning. Yet, the ability to track a person's location over a period of time presents serious privacy concerns.
Large data sets containing personally identifiable information (PII) are valuable resources for research and policy analysis in a host of fields supporting America's First Responders such as emergency planning and epidemiology.
Dr. Liu also serves on the conference committees of several major conferences, as a reviewer for many more conferences, as well as a number of technical journals.
Dr. Seraphin B. Calo, a distinguished research staff member at IBM Research, describes Dr. Liu as "an excellent role model and inspiration for women in science and technology.”
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