LAB42 Meet-up x ICAI

LAB42, L3.33, L3.35 and bridge

Come join us at the fifth LAB42 meetup, this time in collaboration with ICAI. Explore ICAI and LAB42-based labs through enlightening talks and an engaging poster session. Enhance your understanding with us!


  • 16.00 | Welcome & introduction ICAI
  • 16.10 | Talk 1: Self-Supervised Learning and Adapting Foundation Models by Yuki Asano
  • 16.35 | Talk 2: Efstratios Gavves
  • 17.00 | Poster session and drinks
  • 17.45 | End of program

This an internal event aimed at LAB42 researchers, entrepreneurs and other staff.

Talk 1: Self-Supervised Learning and Adapting Foundation Models by Yuki Asano

I’m an assistant professor for computer vision and machine learning at the QUVA lab at the University of Amsterdam. My PhD was at the Visual Geometry Group (VGG) at the University of Oxford where I worked with Andrea Vedaldi and Christian Rupprecht. Prior to this I studied physics at the University of Munich (LMU) and Economics in Hagen as well as a MSc in Mathematical Modelling and Scientific Computing at the Mathematical Institute in Oxford.

Talk 2: Efstratios Gavves

Dr. Efstratios Gavves is an Associate Professor with the University of Amsterdam in the Netherlands and Scientific Director of the POP-AART lab and the QUVA Deep Vision Lab. He is a recipient of the prestigious ERC Career Starting Grant 2020 to research on the Computational Learning of Temporality for spatiotemporal sequences. Also, he is a co-founder of Ellogon.AI, a University spinoff and in collaboration with the Dutch Cancer Institute (NKI), with the mission of using AI for pathology and genomics. He is currently supervising more than 12 Ph.D. and postdoctoral students in projects with the University of Amsterdam, the Dutch Cancer Institute, Ellogon.AI, and BMW. Efstratios has authored several papers in the top Computer Vision and Machine Learning conferences and journals and he is also the author of several patents. Further, Efstratios teaches Deep Learning in the MSc in Artificial Intelligence at the University of Amsterdam. All material is available on the project website, His research focus is on Temporal Machine Learning and Dynamics, Efficient Computer Vision, and Machine Learning for Oncology.

Poster session

Our poster session will include posters on research from QUVA Lab, Atlas Lab and Delta Lab 2.