Welcome to Lee Ting Ting’s Webpage

UC Berkeley Blockchain Lab Researcher / Lecturer / Technical Writer / Amateur Model
The Hong Kong University of Science and Technology
Dept of Computer Science

Email: tleeae AT connect DOT ust DOT hk



Graduated from Taipei First Girls High School, I am now a third year student in The Hong Kong University of Science and Technology, major in Computer Science. I started coding in the competitve programming space at the age of 17. I discovered my passion towards Blockchain and Distributed Consensus at the age of 19, left my internship as a Data and AI Associate Consultant at Microsoft, and determined to be a researcher in this field and spread the technology through teaching and writing. Lastly, I am also a Women in Tech advocator who strives to bring in more female in the Technology field :)

Quick Links

Medium, Github, Google Scholar, LinkedIn, Instagram, Facebook, Twitter, Company - Turing Chain

Research Interest

Distributed consensus, game theory, cryptography, and security exploits.


[1] Yao-Chieh Hu, Ting-Ting Lee, Dimitris Chatzopoulos, and Pan Hui. 2018. Hierarchical interactions between Ethereum smart contracts across Testnets. In CRYBLOCK ’18: 1st Workshop on Cryptocurrencies and Blockchains for Distributed Systems, June 15, 2018, Munich, Germany. ACM, New York, NY, USA, 6 pages. https://dl.acm.org/citation.cfm?id=3211935. Best Paper Award.

[2] [Invited by committee] Yao-Chieh Hu, Ting-Ting Lee, Dimitris Chatzopoulos, and Pan Hui. 2018. Smart Contract Interactions - Asynchronous State Consensus and Comparative Analysis. Invited to be reviewed by Concurrency and Computation: Practice and Experience (WILEY) CPE journal, 2018.

[3] Yao-Chieh Hu, Ting-Ting Lee, Chungsang Lam. 2019. A Risk Redistribution Standard for Practical Cryptocurrency Payments. International Conference on Decentralized Applications and Infrastructures (IEEE DAPPCON), 2019. https://edas.info/showBibTeX.php?m=1570508602


Invited Talks

Technical Writing

Platform: Medium
Subscribers: about 2000 worldwide


Published Series


Open Source Contribution

Work Experience


Media Exposure