Jakob Zeitler
Pioneer Fellow, Department of Statistics and Big Data Institute
About
At Oxford University, Jakob Zeitler's research interests include making machine learning, causal inference and Bayesian optimisation work in the real world. Other interests include simplifying and explaining artificial intelligence and its impacts on our lives, e.g. in healthcare, drug development, chemistry and more.
Background:
- 2017 BA Philosophy, Politics, Economics at University of Exeter, UK
- 2019 PhD Computer Science (incomplete), graduated MSc Computer Science at Syracuse University, USA
- 2022 Spotify Research UK (during PhD at UCL)
- 2024 PhD Foundational Artificial Intelligence (Google Deepmind Scholar, £125k) at University College London, UK
Expertise
- Artificial intelligence
- Machine learning
- Drug discovery
- Machine learning for healthcare
- Causal inference
- Causality
Recent media work
Languages
English, German