Shortened Abstract. We detail how the foundational equations with which Bancor determines reserves and prices is fundamentally flawed. We confirm the existence of price inaccuracies - specifically, price inaccuracies from distributed lag, and missing terms for price volatility and price shocks. Second, we derive an improved pricing formula which will more accurately represent the price of a given token with fewer arbitrage opportunities.This paper highlighted a vulnerability two months before it was exploited to hack $25m USD from the Bancor exchange.
Completed ~90 college credits in political science and typical high school topics. Ran Model United Nations club for college. Participated in numerous international collegiate Model United Nations conferences.
High School Study Abroad: France, 1 year
ASSE Scholarship Recipient
High School Study Abroad: Germany, 1 year
Congress Bundestag Youth Exchange Scholarship Recipient
Cornell University: Began Undergrad
Cornell University: Graduated
Picked up 3 minors along the way: Computer Science, Information Science, and Asian American Studies
University of Washington: Began Graduate School
UW Master's of Science in Technology Innovation, learning to create IoT devices
Georgia Institute of Technology: Began Graduate School
Concurrent with UW
University of Washington: Left Graduate School to take PayPal Internship
Still in the GT OMSCS :)
Moved to Austin: First Job!
SWE II at PayPal
Graduate from Georgia Tech with a Master's in Computer Science
Program Manager, CodeDay
Program Manager, Consultant to Microsoft Philanthropies
Reached 4000+ students with Computer Science education
Got 3000+ students to pursue further Computer Science Studies
>70% of students from URM groups. 50% women, >60% Latinx/Black. >60% Title I students.