Our technology team combines mathematics, AI science, and systems engineering to build trusted, usable, and verifiable intelligent products.
The technology team is composed of mathematicians, AI scientists, and software engineers. Its members come from the Department of Mathematics at University College London, include doctoral research backgrounds, and bring hedge fund industry experience. The team spans algorithm research, model systems, data engineering, product engineering, and reliability, focused on turning complex technologies into stable, scalable, and deployable intelligent infrastructure capabilities.
Lead Mathematician
BSc, UCL; PhD student in Mathematics at Stanford, specializing in Number Theory. Combines mathematical research with experience in systems software and OS kernel development to build reliable and efficient quantitative algorithms and software systems.
Head of Quantitative Strategy
BSc graduate of the UCL Department of Mathematics with an MSc in Statistics from Columbia University. Former hedge fund quantitative researcher with extensive hands-on strategy experience in China A-share and commodity markets.
Algorithm Engineer / LLM Researcher
Core developer with a BSc from the UCL Department of Mathematics and an MSc in Computer Science from Waseda University, also serving as a research assistant at Tsinghua University's Center for Brain-Inspired Computing Research. His research focuses on trustworthy AI and world models, covering generative models, multi-agent systems, and optimization theory. He previously worked as an LLM algorithm engineer.
Software Engineer / LLM Researcher
Core developer with an MEng degree from the UCL Department of Computer Science. He previously served as a research assistant at Peking University and received a UCL research scholarship. He has published multiple papers, with related work recognized by the 2026 ACM SIGSOFT Distinguished Paper Award, and focuses on AI for Code and trusted intelligent systems.
Macro Analyst
Macro market analyst with a BSc from the UCL Department of Mathematics. Has years of market research experience and multi-year live trading experience across China A-shares, Hong Kong equities, and US equities.
Head of Market Department
BSc in Mathematics and Economics from UCL and a computer science-focused master's degree from the University of Warwick, with research interests spanning artificial intelligence and cybersecurity. Has experience in investment banking and private equity, with investment research experience across U.S. equities and derivatives markets.
Head of Risk Control
Graduated from the UCL Department of Mathematics and holds a master’s degree in Financial Risk Management. His research focuses on reliability evaluation of large language models in financial risk, covering model accuracy, stability, and hallucination analysis. He has a background in mathematical modelling and quantitative analysis, with interests in applying AI to risk management and financial decision-making.
Quantitative Researcher
MSc in Applied Computational Science from Imperial College London, with work centred on machine learning and numerical methods for scientific computing. He earned his BSc in Mathematics at University College London (UCL), building a strong foundation in analysis, applied mathematics, and computation. His interests span scientific machine learning, high-performance numerical methods, and inverse problems.
