I am currently a Ph.D. student at John A. Paulson School of Engineering and Applied Sciences, Harvard University, where I am a member of the EconCS group. I am very fortunate to be advised by Professor Yiling Chen. Before Harvard, I got my bachelor degree in Computer Software from Tsinghua University, Beijing, China. I also visited City University of Hong Kong as an exchange student in my junior year.
Curriculum Vitae (updated November 2016)
I'm expected to graduate in May 2017 and am currently on the job market!
My primary research interests lie in the interdisciplinary field of social computing and crowdsourcing. I design and conduct large-scale online behavioral experiments to obtain a quantitative perspective on participants' behavior in social computing and crowdsourcing systems. Based on the empirical evidence from the behavioral data, I further work on designing realistic models, novel algorithms and effective interfaces to facilitate the development of more intelligent and sustainable systems. My research broadly connects to the fields of artificial intelligence and applied machine learning, computational social science, human-computer interaction and behavioral economics.
Understanding the Crowd
I empirically examine who the crowd workers are and how they complete crowdwork using online behavioral experiments. These works have contributed to present a quantitative picture of the lives of crowd workers, who:
- value social interactions (WWW'16)
- desire more flexibility and autonomy (ongoing work)
- display significant temporal variations (ongoing work)
Crowdsourcing Incentive Design
I study the problem of how to design incentives in crowdsourcing systems from multiple perspectives:
- empirically understanding the human behavior in the presence of different incentives (AAAI'13, HCOMP'13, HCOMP'14, CHI'16)
- quantitatively modeling the patterns in human behavior in reaction to incentives (IJCAI'15, HCOMP'16)
- designing algorithms and interfaces towards more effective use of crowdsourcing incentives (IJCAI'15, CHI'16)
Online Experimentation for Behavioral Sciences Via Crowdsourcing
I use crowdsourcing platforms as a channel to get access to a large pool of diverse people who are willing to participate in scientific experiments. I conduct online experiments on crowdsourcing platforms to:
- understand human behavior in various decision-making settings (AAMAS'15)
- examine how experimenters should conduct and communicate the crowdsourced research in an appropriate way (ongoing work)
Curiosity Killed the Cat, but Makes Crowdwork Better.
Edith Law, Ming Yin, Joslin Goh, Kevin Chen, Michael Terry and Krzysztof Z. Gajos. The 34th ACM Conference on Human Factors in Computing Systems (CHI), San Jose, CA, May 2016.
Best Paper Honorable Mention
Teaching fellow with Professor Yiling Chen, Spring 2013, Harvard University.
Teaching fellow with Professor Barbara Grosz, Fall 2013 & Fall 2014, Harvard University.
I'm an avid photographer. Check out some of my pictures here.