Martin Y. Xie
Martin did PhD in Computer Science (inter-discipline with Economics) at Oxford University, and studied in Singapore and MIT for his undergraduate and master degrees. Martin published paper on parallel and distributed computing, supercomputing, Grid computing etc, won best paper award, and served as reviewer and session chairs of internationl conferences in related area.
After PhD, Martin worked as a quant in quantitative hedge fund in London for about 3 year, and started a FinTech startup in China focusing on quant and blockchain-related technology/trading as well (including high-frequency trading). Martin moved to Dubai UAE at the begining of Covid pandemic, and co-founded a technology-based general trading company focusing on live-streaming. Martin is a passionate and true believer of decentralized collaboration and partnership using technology.
Sessions
The Julia programming language has proven to be a solution to the two-language problem, especially in the area of scientific computing. However, being both easy and fast is just the "syntactic" feature and benefit. An extension or superset of Julia can unleash its "semantic" potential to provide value to every company going through digital transformation. We will discuss in more details with examples in the context of quantitative trading and hedge fund. We will also mention Julia's potential in combination with technology such as blockchain. We will release a new package as the first step towards an extension or superset of Julia for building decentralized systems.