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Digital Environment Research Institute (DERI)

DERI Seminar with Dr Sarah Parisot, Principal Researcher in Games Intelligence at Microsoft Research

When: Thursday, December 4, 2025, 11:00 AM - 12:00 PM
Where: Teams

Speaker: Dr Sarah Parisot, Principal Researcher, Games intelligence Microsoft

Do join us on Thursday 4th December when we will be joined by Dr Sarah Parisot who is a Principal Researcher in the Game intelligence team at Microsoft Research

Title: Real-time text-conditioned world models for interactive prototyping

Abstract: World models have shown promise for generating gameplay sequences from user actions, opening the door to creative applications like rapid game prototyping. Yet, achieving high-quality, consistent generation often comes at the cost of speed, limiting real-time interaction. Models are also limited in their ability to generate new content that deviates from original gameplay, particularly when trained on data from a single environment.

This talk will discuss steps towards making world models practical for interactive ideation: first, accelerating autoregressive world models towards real-time generation; second, learning new interactive mechanisms that can be triggered at inference time in a controlled manner with text. This highlights how curated datasets and efficient fine-tuning can transform world models into powerful tools for real-time prototyping.

Bio:  Dr Sarah Parisot is a Principal Researcher in the Game intelligence team at Microsoft Research. Her research interests include data efficient learning, large vision-language models, and controllability of visual generative models, including interactive world models and their application to support creative ideation.

Prior to joining Microsoft, she led the London AI Theory team at Huawei’s Noah’s Ark Lab. Earlier in her career, she was a Research Associate at Imperial College London, where she developed graph neural network methodologies for medical imaging. She earned her PhD in Applied Mathematics from INRIA and École Centrale Paris in 20I3.

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Meeting ID: 318 360 483 013 54

Passcode: 6Ei7qq69

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