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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 interest is broadly in machine learning / deep learning, including learning representations and generative models for physical systems specifically biochemistry, unsupervised and semi-supervised learning with either no or very small amounts of labeled data. 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. 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.

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: