Ariah Klages-Mundt

Ariah Klages-Mundt is Founder of Superluminal Labs, developer of Gyroscope. Decentralized finance, applied math, network science. Formerly, PhD student at Cornell University, analytics MBS/ETFs/indices. My work is at the intersection of computer science and economics and aims to better understand complex economic systems with the goal to design systems that survive extreme events. I develop network science and machine learning tools and multi-agent models. My current work focuses on cascades in financial networks (e.g., understanding how financial systems can fail in unituitive ways) and the design of stable assets, including 'stablecoin' cryptocurrencies. Before starting my PhD, I worked in financial software developing fixed income risk models and economic classification tools. I have a wide knowledge of how pieces of the economy fit together. In an early project, I spent several months reading 10-ks and designing a business classification system. I later pioneered the firm’s network model based on this data, which motivated my PhD work. My research in undergrad focused on computational aspects of elliptic curves and modeling and signal analysis of neuronal networks. Before mathematics, I also worked on research in physics, geology, chemistry, and engineering. I am familiar with several programming languages and software packages: Python (including NumPy, SciPy, pyodbc, Pandas, NetworkX, and Google OR-Tools), Matlab, Sage (computer algebra), VBA Excel, C#/VB.net, C++, SQL Server, Bash, LaTeX, and Bloomberg. Public code repo at github.com/aklamun.