Signal Processing and Communications Laboratory

Department of Engineering

Lukas Ryll Lukas Ryll

Background - Research - Publications

Position: PhD Student

E-mail: lr487 [at]

Office Location: BN3-02

Thesis Title:

Supervisor: Prof. Simon Godsill and Prof. Carl Edward Rasmussen

College: King's


I have a mixed background in financial economics and data science. My primary research interest lies in the intersection of approximate inference and parametric machine learning, with a focus on specification efficiency and other idiosyncrasies of Bayesian ML models. Moreover, I am interested in time series forecasting under high temporal distribution shift & noise.

Research Interests

Bayesian Machine Learning, Approximate Inference, Recurrent Neural Networks, Continual Learning


Please refer to my Google Scholar page