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Home

About Me

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I am a Machine Learning researcher, working at the intersection of deep learning and probabilistic modelling. I completed a PhD in Machine Learning at the Technical University of Denmark (DTU), supervised by Ole Winther (DTU) and Ulrich Paquet (Google DeepMind). During my PhD I have done internships at Microsoft Research and Google DeepMind. Currently, I am the Chief Data Officer at Unumed, working on exciting applications of Machine Learning in healthcare.

 

Main research interests

  • Deep Learning and probabilistic modelling: using deep neural networks to parameterize flexible probabilistic graphical models, focusing in particular on models for sequential data.
  • Bayesian inference: stochastic and deterministic approximation techniques such as variational inference, Markov Chain Monte Carlo methods and sequential Monte Carlo methods.
  • Recommender systems.