Main > LR487
Lukas Ryll 
Background -
Research -
Publications
Position: PhD Student
E-mail: lr487 [at] cam.ac.uk
Office Location: BN3-02
Thesis Title:
Supervisor: Prof. Simon Godsill and
Prof. Carl Edward Rasmussen
College: King's
Background
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
Publications
Please refer to my
Google Scholar page
