✅ Had my upgrade viva!
Upgraded from MSc status to PhD status. Thank you viva examiners Terry Soo, Liam Solus and Ioanna Manolopoulou!
🟢Kai Zhi Teh
PhD student
University College London, Department of Statistical Science
About Me
I’m Kai, a PhD student at the Department of Statistical Science in UCL, supervised by Dr Kayvan Sadeghi and Prof Terry Soo. I am also a research assistant at Wolfram Research Europe and a teaching assistant for the Department of Statistical Science, Division of Biosciences and Academic Communication Center in UCL. I hosted the UCL Computational Statistics/Machine Learning ELLIS Seminars.
Prior to this, I obtained my master’s in Engineering Science from the University of Oxford, with an emphasis on software, machine learning and control. I am open to work opportunities in Statistics, Data Science and Machine Learning.
Interests
- Causal Inference
- Graphical Modelling
- Real-World Motivated Methods
Education
PhD Statistical Science
University College London
MEng Engineering Science
University of Oxford
Recent Publications
(2025).
Towards Robust Causal Effect Identification Beyond Markov Equivalence.
ICML 2025 Workshop - Scaling Up Intervention Models.
(2025).
A General Framework on Conditions for Constraint-based Causal Learning.
Scandinavian Journal of Statistics.
(2024).
Localised Natural Causal Learning Algorithms for Weak Consistency Conditions.
Proceedings of the Fortieth Conference on Uncertainty in Artificial Intelligence.
Past & Upcoming Talks
Recent News
📈 Back to hosting UCL ELLIS CSML Seminars
With the generous support of Jump Trading, UCL ELLIS Computational Statistics/Machine Learning Seminars will resume.
🎉 Our paper accepted for UAI 2024!
Our paper ‘Localised Natural Causal Learning Algorithms for Weak Consistency Conditions’ has been accepted for a poster presentation for the UAI conference in Barcelona!