Stefania Druga

Stefania Druga is a Research Scientist at Sakana AI in Tokyo, working on culturally-aligned AI and AI-assisted scientific workflows. Previously at Google DeepMind, she holds a PhD from the University of Washington and a master's from MIT.

The sheer volume of data and complexity of modern scientific challenges necessitate tools that go beyond mere analysis. The vision of an "AI Co-scientist" – a true collaborative partner in the lab – requires sophisticated engineering to bridge the gap between powerful AI reasoning and the dynamic reality of physical experiments.

This talks explores all the ways in which we can push the boundaries of our learning and creativity by using a myriad of open-source multimodal agents that are proactive and nudge you to explore different topics, dimensions, approaches to your learning workflow while also pointing certain cognitive biases or misconceptions you might have.

We will explore how we might use AI models to combine sounds, images, and videos and create new learning activities that support critical, creative and counter-factual thinking.