Kah T is a research scientist and quantitative/ML researcher with eight years of experience applying deep learning and probabilistic methods to finance and product problems across Geneva and Singapore. He has moved between high-frequency macro trading desks and consumer tech—building NLP and applied-AI systems at Brevan Howard and Instagram, and ML-driven strategies for commodities and crypto at Dymon Asia. Trained at Oxford in information and computer engineering with non-parametric Bayesian research experience, he combines rigorous academic methods with production-focused data science in payments, creator monetization, and trading. Kah’s background in both venture incubation and institutional investing gives him a rare blend of product intuition and market-aware modeling. He frequently bridges research and engineering, shipping models that are both theoretically grounded and operationally robust.
8 years of coding experience
6 years of employment as a software developer
MEng BA Information and Computer Engineering, MEng BA Information and Computer Engineering at University of Oxford
Singapore-Cambridge GCE 'A' Levels, Singapore-Cambridge GCE 'A' Levels at Anglo-Chinese Junior College
Oxford Finance Lab Finance, Oxford Finance Lab Finance at Saïd Business School, University of Oxford
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