Tianda Li李天达

I'm an applied research scientist focused on bringing AI into traditional industries — building automation systems that take recent advances in LLMs and agentic systems out of papers and into real business workflows. In parallel, I'm developing an AI-driven trading system that combines my research background with quantitative finance.

I founded DeepTensor Pte. Ltd. in Singapore as the vehicle for this work — an independent AI lab building products that bring automation into traditional industries.

My research background spans large language models, document intelligence (KIE, visual document understanding), knowledge distillation, and agentic systems. Outside of company work, I've trained LLMs at scale (up to 18B parameters) on distributed infrastructure I built and operated end-to-end.

I received my M.A.Sc. from Queen's University (Canada), advised by Prof. Xiaodan Zhu. Before that I studied at Nankai University (B.Eng. in Information Security + B.A. in Law, dual degree) and spent a year on exchange at École Centrale de Nantes in France.