I’m a PhD student at the Vrije Universiteit Amsterdam. My research combines symbolic reasoning and machine learning, or “Neurosymbolic AI”. I’ve done work on differentiable fuzzy logics, and on optimization with discrete latent variables. I developed the Storchastic PyTorch library, which implements many gradient estimation methods. Recently, I’ve developed A-NeSI, a highly scalable Neurosymbolic method that uses neural networks for symbolic inference.

We are organizing an exciting workshop on Neurosymbolic Generative models at ICLR 2023! Join us in Kigali.

I expect to finish my PhD in July 2023 and am looking for opportunities as a postdoc or a researcher in industry. I have a preference for positions in or close to the Netherlands. Contact me at info@emilevankrieken.com if interested.

I’m also interested in Personal Knowledge Management. I’ve developed Juggl, a plugin for Obsidian.md that adds a customizable graph view. Other plugins include Graph Analysis, which uses graph theory algorithms to find similarities between notes, and Supercharged Links.

Another hobby of mine is music. Here are some songs I made!

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