Scholar
Anders Kirk Uhrenholt
Google Scholar ID: rwOBP5QAAAAJ
Amazon
Citations & Impact
Citations
82
H-index
4
i10-index
2
Publications
7
Co-authors
0
Resume
Research Experience
- Worked as an Applied Scientist at Amazon, responsible for designing and productionising large-scale deep neural recommendation systems, and leading the development of LLM-powered systems that leverage generative AI to improve customer experience.
Education
- PhD in Computing Science from the University of Glasgow, focusing on Bayesian optimisation, Gaussian processes, variational inference, and parsimonious modelling.
Background
- Research interests include Bayesian optimisation, Gaussian processes, variational inference, and parsimonious modelling. Since 2021, worked as an Applied Scientist at Amazon in Edinburgh, designing and productionising large-scale deep neural recommendation systems that serve hundreds of millions of customers worldwide. Additionally, led the development of LLM-powered systems that leverage generative AI to improve customer experience.