I am a Ph.D. candidate in the School of Information at University of Michigan. I am fortunate to be advised by Prof. Qiaozhu Mei and be a member of the Foreseer Group. Previously, I received my bachelor degree in Computer Science from Peking University, with a double major in Economics.

I am passionate about large-scale behavior data analysis. I use multi-disciplinary methodologies featuring machine learning, causal inference, and experimental design. I am interested in the applied area of data science such as computational social science, social good, recommender systems, social and information network analysis.

I am looking for tenure-track positions in academia. Here is my CV.



See also my Google Scholar profile

Teaching Experiences

  • SI650/EECS549 Information Retrieval, University of Michigan (Winter 2017 & Fall 2017)
    Graduate Student Instructor, Guest Lecturer.
    Attendants were graduate students in computer science and information science. Duties included preparing problem sets and rubrics, setting up Kaggle competitions for assignments, supervising course projects, office hour, and grading. I gave a 3-hour lecture on "Probabilistic Retrieval Models and Language Models."

  • SI301 Models of Social Information Processing, University of Michigan (Fall 2016)
    Graduate Student Instructor
    Attendants were junior and seniors of undergraduate students majored in information science. Duties included leading discussion sessions, preparing problem sets, office hour, and grading.

  • Data Structure and Algorithm, Peking University (Spring 2013)
    Teaching Assistant, Guest Lecturer
    Duties included supervising lab sessions, supervising course projects, and grading. I gave a lecture on "The Application of Snowball Algorithms in Extracting Entity Relationships."

Industrial Experiences

  • Data Scientist Intern at Didi Chuxing, 2017.7 – 2017.8, 2018.1 - 2018.2

  • Software Engineer Intern at Twitter, 2015.5 - 2015.8

  • Volunteer Intern at Kiva.org, 2014.5

  • Software Engineer Intern at Tencent, 2013.4 - 2013.6

Professional Activities and Service

Conference Organization
  • Student Volunteer Chair for SIGIR 2018
Workshop Organization
  • InTI2018: 1st SIGIR Workshop on Intelligent Transportation Informatics
Conference PC Member
  • WSDM 2018, 2019

  • WWW (poster track) 2018

  • ICWSM 2018, 2019

Workshop PC Member
  • MiLeTS18: 4th SIGKDD Workshop on Mining and Learning from Time Series.

  • Emoji2018: 1​st​ International Workshop on Emoji Understanding and Applications in Social Media (Co-located with ICWSM'18)

Journal Reviewer
  • Management Science
  • ACM Transactions on Intelligent Systems and Technology (TIST)
  • ACM Transactions on Big Data (TBD)
  • IEEE Transactions on Knowledge and Data Engineering (TKDE)
  • Journal of Computer Science and Technology (JCST)
Departmental Service
  • Online Degree Task Force, School of Information, 2018
    I participated in proposing the new Online Master Degree in Applied Data Science.

  • Doctoral Committee Representative, School of Information, 2016 -- 2017
    I served as the student representative of the doctoral committee, which oversee the doctoral program of the school.

  • Doctoral Execute Committee, School of Information, 2014 -- 2015
    The committee represent and advocate for the interests of doctoral students in the school to the administration, faculty, and the community at large.