Bill Ku

I'm a Visiting Researcher at the Department of Engineering Science, University of Oxford, and an MEng Engineering graduate of the university. I'm passionate about AI research, with a keen interest in language modelling, NLP, LLMs, Computer Vision, multiagent systems, AI Safety, interpretability and robustness. I am driven by the energy of collaborative environments, especially when working with people with similar interests and a common goal to innovate and push boundaries. I’m a continuous learner eager to expand my knowledge, embrace new challenges, and of course, meeting new people!

During my MEng, I specialised in Machine Learning, Deep Learning, Machine Vision & Robotics, Robust and Distributed Control, Optimal and Learning-Based Control, Probability, Systems and Perturbation Methods, and Computing Technology.

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Publications

Prosodic Structure as a Critical Component in Phonemic Language Modelling at BabyLM Scale
Bill K. S. Ku and Janet B. Pierrehumbert
Department of Engineering Science, University of Oxford
BabyLM Workshop at EMNLP 2026 (workshop paper), to appear.
Preprint and proceedings links coming soon.

 

 

 
 
Design and source code gratefully adapted from Google DeepMind research scientist, Jon Barron's open-source template