The goal of the group is to conduct applied research in Data Science and Artificial Intelligence, with a focus on Mathematical and Computational Statistics. The Stats@CAIR-UP node focuses on capacity building in Mathematical and Computational Statistics - both in the Department of Statistics as well as with partnering PDI universities. This includes building the pipeline from an undergraduate Statistics degree into the B.Sc/B.Com honours, masters and doctoral programmes as well as postgraduate development through workshops and conference attendance. Research projects cover both theoretical and applied research in the following fields:
- Natural Language Processing (NLP)
- Probabilistic graphical models
- Causality
- Uncertainty in AI.
