I2P and the Dark Web - John Liu

The Invisible Internet Project (I2P) is a fully decentralized, self-organizing network layer that provides secure and anonymous communications. As an emerging darknet, I2P addresses much of the surveillance dragnet concerns and flaws of Tor. With a growing list of supported applications (including integration with blockchain crypto-platforms), I2P is poised for mainstream adoption.

Dr. John Liu is a philomath and frequent speaker with expertise in machine learning, behavioral finance and probability theory. He is an avid programmer who sold his first program at the age of 13 and holds an Amateur Extra radio license and a CFA Charter. He served as co-organizer for the Nashville Machine Learning Meetup and was last year's Finalist for NTC Data Scientist of the Year. John earned his BSE, MSE, and PhD in EE from the University of Pennsylvania and worked in quantitative investment management for too long. In his spare time, he enjoys experimenting with hypervisors and coaching MathCounts, judging debate tournaments, and supporting the Middle Tennessee Science and Engineering Fair.