ABOUT AFM

Peter Seilern, now inactive, holds a Master’s degree in Physics from EPUL, now known as the Federal Polytechnic School of Lausanne (EPFL). He acquired valuable experience at Litton Industries’ ‘Guidance and Control Systems Division’ in California before serving as an associate at Dillon, Read & Co. Inc. in New York for three years.

Upon his return to Switzerland, he pioneered the development of Computer-Assisted Trading (CAT), a sophisticated system empowering investors to trade securities based on their relative performance. This innovative framework also facilitated the trading of securities based on their market index performance.

Autonomous Fund Management (AFM) was introduced in 2007 with the advent of accessible technology. In early 2017, a collaborative effort with HES-SO Valais led to the launch of the current iteration of AFM, representing a significant advancement in automated investment management solutions.

Leyun Xia, a native of Shanghai, embarked on his academic journey by studying French at university. At the age of 21, he relocated to Switzerland to further his education. Following an immersive language program aimed at refining his proficiency in French, he enrolled at HES-SO Valais, where he earned a Bachelor’s Degree in computer science and later, a Master's in Business Administration.

With a solid educational foundation, Leyun dedicated a decade to serving as a research scientist at the same institution, contributing significantly to projects centered around data mining and machine learning.

In 2017, Leyun collaborated with Peter Seilern on a research initiative at HES, assuming a pivotal role in the development and rigorous testing of AFM. His efforts culminated in the successful deployment of the system in a live environment in mid-2019.