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Shan Jiang is a PhD student studying social networking and applied data mining at Northeastern University’s College of Computer and Information Science, advised by Professors Alan Mislove and Christo Wilson. Previously he received a bachelor’s degree in information management and information systems from Beijing University of Posts and Telecommunications. He is a member of the Social Networks Group and is currently working on a project to understand users’ mobility patterns by analyzing pricing and availability data produced by carpool applications such as Lyft and Uber.
- BA in Information Management and Information Systems, Beijing University of Posts and Telecommunications – China
- Hometown: China
- Field of Study: Social Networking, Applied Data Mining
- PhD Advisors: Alan Mislove, Christo Wilson
What are the specifics of your graduate education (thus far)?
I am a PhD student advised by Professors Christo Wilson and Alan Mislove. My research tries to explore the social and economic aspects of online systems using data-driven methods.
What are your research interests?
While smart devices changing our lives using their powerful algorithms, few have worried of their potential problems: Are they secure? Are they private? Are they discriminative, or even are they reasonable? My research tries to answer those social and economic concerns of current algorithm-driven web services and mobile applications.
What’s one problem you’d like to solve with your research/work?
I am now trying to analyze availability and pricing data from carpool applications such as Uber and Lyft to understand users’ mobility patterns.
What aspect of what you do is most interesting?
The research project attracts me for its direct application values and its novelty. In a way, our research is real-world data driven, resulting more intuitive and interesting discoveries that can be easily adopted by industry or government; In another, our research is highly interdisciplinary and little has been done before.
What are your research or career goals, going forward?
I aim to be a research or data scientist in industrial labs, if not in academia.