Rembert Daems

Ph.D. student at Ghent University.

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After graduating from Ghent University in 2016 with a master’s degree in electromechanical engineering I started working at CNH Industrial, in the combine harvester innovation team. There I had the chance to learn a lot about computer vision, and apply deep learning to automate combine harvesters.

In 2018 I switched to Octinion, a smaller R&D company, where I worked on many deep learning projects in the agricultural sector. In my role as AI lead I introduced deep learning in the company and coached colleagues on a technical level. I started a PhD in collaboration with Octinion in 2019, partly funded by VLAIO (Baekeland mandate).

In 2020 I co-founded Hippo Dx, a medical device start-up. We developed the automated skin prick test device (SPAT), enabling consistent and precise allergen testing and freeing precious medical professionals time. My main responsibilities are the camera and custom lighting system, image processing and automated diagnosis with deep learning.

Since March 2021 I pivoted my PhD in a more fundamental research direction. My research is on the intersection of visual perception, (stochastic) dynamical systems and control. I started an international collaboration with Tolga Birdal and Manfred Opper on variational inference for stochastic differential equations driven by fractional noise.

On this website I write about my research as well as side projects. I live in the beautiful city of Bruges with my wonderful wife and three kids.

latest posts

selected publications

  1. KeyCLD: Learning constrained Lagrangian dynamics in keypoint coordinates from images
    Rembert Daems, Jeroen Taets, Guillaume Crevecoeur, and Francis wyffels
    Neurocomputing, 2024
  2. Variational Inference for SDEs Driven by Fractional Noise
    Rembert Daems, Manfred Opper, Guillaume Crevecoeur, and Tolga Birdal
    In The Twelfth International Conference on Learning Representations, 2024
  3. Generative Fractional Diffusion Models
    Gabriel Nobis, Maximilian Springenberg, Marco Aversa, Michael Detzel, Rembert Daems, Roderick Murray-Smith, Shinichi Nakajima, Sebastian Lapuschkin, Stefano Ermon, Tolga Birdal, Manfred Opper, Christoph Knochenhauer, Luis Oala, and Wojciech Samek
    In Advances in Neural Information Processing Systems, 2024