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I am a Research Engineer at Facebook AI Research in NYC. Before that I was at IBM Research AI, working in the T.J. Watson Research Center. I graduated from the MS in Data Science at New York University’s Courant Institute of Mathematical Sciences in May 2015, and obtained a B.Sc. (2011) and M.Sc. (2013) in Engineering Physics from Ghent University.

My research interests include unsupervised and semi-supervised learning with either no or very small amounts of labeled data, multimodal learning (i.e. learning representations across different data modalities like images, text, and speech), and learning generative models of structured data. I also worked on deep learning approaches to acoustic modeling in speech recognition, bringing advances from the deep learning and computer vision communities to speech recognition. Most recently I worked on Generative Adversarial Networks (GANs), specifically on finding a better distance metric between the data distribution and the generated distribution, which leads to fast and stable training.

Selected Publications

For an always-up-to-date list, see google scholar.

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Recent Talks

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From my time at NYU

While at NYU, I worked as a Teaching Assistant for two courses, making the following lab material: