Wei Ouyang (欧阳未)

Wei Ouyang (欧阳未)

Hello

Wei OUYANG is an assistant professor in the department of applied physics at KTH Royal Institute of Technology (Stockholm, Sweden). He is currently leading a research group, the AICell Lab, which is funded by the Data-Driven Life Science fellow program. The group focuses on building AI systems for cell and molecular biology.

Dr. Ouyang obtained his PhD in computational image analysis at Institut Pasteur, Paris where he mainly focuses on applying deep learning for super-resolution microscopy. During this period, he developed a deep learning method called ANNA-PALM which massively accelerates super-resolution localization microscopy by 100x. He spent 4 years at Emma Lundberg’s group as a postdoctoral researcher. To address the challenges in the dissemination of AI tools, he developed an open-source computational platform, ImJoy, which makes deep learning tools easier to build and more accessible to the user. He is actively involved in consortiums and community activities for promoting more open, scalable, accessible and reproducible scientific tools. Among them, he is leading the development of the BioImage Model Zoo for sharing AI models in bioimage analysis.

Dr. Ouyang is mainly interested in AI augmented microscopy imaging and data-driven whole-cell modeling.

Experience

 
 
 
 
 
KTH Royal Institute of Technology
Assistant Professor
Jan 2023 – Present Stockholm
  • Augmented microscopy
  • BioImage analysis
  • AI-powered data-driven whole-cell modeling
 
 
 
 
 
Amun AI AB
CEO
Dec 2021 – Present Stockholm
  • Research data management
  • AI model and application serving
  • Privacy-preserving AI
 
 
 
 
 
KTH Royal Institute of Technology
Researcher
Jan 2021 – Dec 2022 Stockholm
  • BioImage analysis
  • Multi-omics data integration and whole-cell modeling
 
 
 
 
 
KTH Royal Institute of Technology
Postdoctoral Researcher
Jan 2019 – Dec 2020 Stockholm
  • BioImage analysis
  • AI infrastructure and software development
  • Multi-omics data integration and whole-cell modeling
 
 
 
 
 
Institut Pasteur
Ph.D Researcher
Sep 2015 – Oct 2018 Paris
  • Bio-imaging with artificial intelligence and super-resolution microscopy;
  • PhD project: Accelerates super-resolution localization microscopy with deep learning.
 
 
 
 
 
Institut Pasteur
Engineer
Oct 2014 – Jun 2015 Paris
  • Develop algorithms and software tools for chromosome architecture imaging
  • Design tools for automated image analysis on the computing cluster

Awards

Prize for Scientific Excellence

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