About Me

I am currently a PhD student working on probabilistic deep generative models with Prof. Ole Winther at DTU Compute in Copenhagen, Denmark. I also work part-time at the start-up raffle.ai, developing corporate virtual assistants using information retrieval, natural language processing and deep learning.

Previously, I was working at AIP at RIKEN in Tokyo, Japan with Emtiyaz Khan on methods for approximate Bayesian inference.

For more details, see my full CV.

Research Interests

I am interested in probabilistic machine learning methods, including the development and evaluation of probabilistic models, as well as design of approximate inference methods.


Jun 3, 2019 I will be a reviewer for NeurIPS 2019.
Jan 18, 2019 I attended the Machine Learning Summer School in Stellenbosch, South Africa.
Jan 1, 2019 I enrolled as a PhD student at DTU Compute, working with Prof. Ole Winther.
Sep 5, 2018 New paper on SLANG: Fast Structured Covariance Approximations for Bayesian Deep Learning with Natural Gradient out. Will be presented at NeurIPS 2018.
Jul 12, 2018 New paper on Fast yet Simple Natural-Gradient Descent for Variational Inference in Complex Models out. Will be presented at ISITA 2018.

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