🎓Richard Bergna
PhD Candidate in Advance Machine Learning
Richard Bergna is a first-year PhD student in Advanced Machine Learning at the Cambridge Computentional and Biological Learning Group (CBL), under the supervision of Prof. Jose Miguel Hernandez-Lobato and Prof. Pietro Liò. His research focuses on uncertainty quantification in machine learning, with applications in decision-making under uncertainty, Gaussian processes, graph neural networks, and reinforcement learning. Previously, he completed his MPhil in Machine Learning and Machine Intelligence at Cambridge and graduated with first-class honors from the University of Bristol in Engineering Mathematics.
Interests
- Uncertainty Quantification in ML
- Probabilistic Deep Learning
- Bayesian Methods
- Gaussian Processes
- Reinforcement Learning
- Graph Neural Networks
Education
PhD in Advance Machine Learning
University of Cambridge
MPhil in Machine Learning and Machine Intelligence
University of Cambridge
BEng in Engineering Mathematics
University of Bristol
Featured Publications
Recent Publications
(2015).
An example journal article.
Journal of Source Themes, 1(1).
Recent & Upcoming Talks
