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.
For more details, see my full CV.
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.|