Joachim Ott

PhD Student
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I am a PhD candidate in the group of Prof. Shih-Chii Liu. I research new methods and techniques for continual learning of tasks involving sequential modalities such as motion, vision, or audio.

My background in Biology (BSc ETH) and Neural Systems and Computation (MSc ETH and UZH), as well as substantial work experience as data scientist (resulting in several patents) help me come up with creative new approaches.

During my BSc and MSc studies I also took several opportunities to work in fantastic research institutes abroad: in 2012, as part of the HHMI Janelia Summer School VA, USA I worked on CATMAID for (full) brain connectomes; in 2015, as part of a semester project on drone-based surface classification, in the group of Prof. J├╝rgen Schmidhuber at IDSIA, TI; and in 2016 on my master thesis (supervised by Prof. Shih-Chii Liu and in collaboration with Prof. Yoshua Bengio) on quantized neural networks at MILA of UdeM Montreal, Canada.

Spin-Off Companies



  • Ott, Joachim and Liu, Shih-Chii Biologically-inspired continual learning of human motion sequences, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), , 2023
  • Zuowen Wang, Longbiao Cheng, Joachim Ott, Pehuen Moure, Shih-Chii Liu Bio-inspired parameter reuse: Exploiting inter-frame representation similarity with recurrence for accelerating temporal visual processing, Advances in Neural Information Processing Systems (NeurIPS) 2023 Workshop, 2023


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