Hou Hei Lam

I am Hou Hei Lam (Henry), currently pursuing a DPhil in Clinical Neurosciences at the University of Oxford, under the supervision of Prof. Rafal Bogacz. Previously, I studied Automation at Tsinghua University, where I was also a member of Tong Class.

At the heart of my curiosity lies a fundamental question: what is the core recipe behind human intelligence? I find this question deeply fascinating in its own right. Understanding how intelligence emerges from the brain is, to me, one of the most profound scientific challenges. Beyond its intrinsic appeal, I believe that uncovering the computational principles of biological intelligence could also inspire the next generation of intelligent systems capable of reasoning, exploration, and discovery.

To pursue this question, I focus on a closed-loop science of intelligence: using AI models to analyze brain data and generate hypotheses about how and why the brain computes (AI→Brain), then developing brain-inspired models to uncover and validate the brain’s computational principles (Brain→AI). By iterating this recursive cycle ((AI→Brain)→AI)→…, I aim to progressively deepen our understanding of intelligence while enabling impactful applications.

Beyond understanding intelligence itself, I am also broadly interested in AI for Science (AI4Science). I am excited by the potential of AI to accelerate scientific discovery, open up new avenues of inquiry, and push the frontiers of human knowledge across disciplines.