I am Ph.D. candidate at Institute for Data, Systems and Society (IDSS) at MIT, advised by Prof. Ali Jadbabaie. I am also affiliated with LIDS (Laboratory for Information and Decision Systems). Prior to MIT, I obtained my B.S. in Electrical Engineering from National Taiwan University (NTU).

My research focus is on developing micro-foundations of information processing and decision making of individuals interacting on social media platforms, and investigate how these individual behaviors can evolve to large-scale social phenomena such as information cascades. I establish and analyze models using tools and techniques from game theory, optimization, microeconomics, and probability theory to gain insights into economic decision making, based on which moderation principles can be made.

Please see my C.V. 

2021 INFORMS Annual Meeting

I will attend the conference in person! Please let me know if you would like to meet and discuss research ideas!

  • Title: Persuasion, News Sharing, and Cascades on Social Networks
  • TB24. (In Person): Oct. 26 (Tues) 7:45-9:15 AM PDT, Room 205A (4 of 4)
  • VMC16 (Virtual): Oct. 25 (Mon) 11:00 AM -12:30 PM PDT (3 of 3)
Research Interests 
Social Media Platforms, Information Choices,  Strategic Communication and Persuasion, Information Design
Selected Coursework
  • Fundamentals of Probability (6.436),
  • Dynamic Programming & Stochastic Control (6.231),
  • Modern Discrete Probability (6.265),
  • Algorithms for Inference (6.438), 
  • Social Choice and Social Networks (18.S996),
  • Microeconomic Theory I-IV (14.121-124),
  • Industrial Organization I (14.271)
  • Market Design (14.125)
  • Introduction to Machine Learning (6.036)
  • Statistics, Computation and Applications (IDS.131)
  • Network Science
  • Network Information Theory
  • Algorithms
  • Control Systems
  • Game Theory with Applications to Marketing and Finance(I)
  • Advanced Calculus(I)(II)