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.

News

Jun 12, 2020 I will give a lecture on normalizing flows and PixelCNNs at the Nordic Probabilistic AI School.
Feb 18, 2020 I will be a reviewer for ICML 2020.
Feb 10, 2020 New paper Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow out.
Jan 13, 2020 From Jan-May I will be visiting AMLAB at the University of Amsterdam, working with Prof. Max Welling.
Dec 11, 2019 New workshop paper on PixelCNN as a Single-Layer Flow out. Will be presented at the Bayesian Deep Learning Workshop at NeurIPS 2019.

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