Mr Alexandre Navarro

Contact information

Research interests

In many datasets, the driving cause for the behaviour we observe is tied to a hidden cause that would be measured using a scale that "wraps on itself" such as angles or a clock/calendar. More precisely, the topology of the latent space can be described as lying over a manifold comprised of combinations of circles, spheres or tori, which requires the tools of circular statistics. My research aims to study how to learn models using these variables in an efficient way through the framework of variational inference. I am also interested in the field of reinforcement learning and applications of machine learning for decision making.

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The Cambridge Centre for Data-Driven Discovery (C2D3) brings together researchers and expertise from across the academic departments and industry to drive research into the analysis, understanding and use of data science.

  • Supports and connects the growing data science research community 
  • Builds research capacity in data science to tackle complex issues 
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