Please note, this session will feature two separate talks by Associate Research Fellows.
How Can A.I. Help Us Find Exploding Stars and Hungry Black Holes?
Modern sky surveys can image the entire sky every night. In doing so, they discover new cosmic explosions. But the sky is vast and the alerts far too many for humans to keep up with. In this talk, Heloise Stevance will present how their Virtual Research Assistant for the Asteroid Terrestrial impact Last Alert System (ATLAS) sky survey has reduced her team workload by 80%, and comment on the importance of a "Data First" approach in the field of AI for Science.
Rethinking Risk: Using AI and Multimodal Data to Predict Pesticide Impacts on Bees
Pesticide regulations are based on whether individual bees survive exposure, but many studies show serious sublethal effects on behaviour, physiology, and hive fitness. In this talk, Rachel Parkinson will present new tools to improve risk assessment: high-throughput behavioural testing with video and audio, and AI-driven methods to extract and model data from scientific literature. Together, these approaches offer a scalable, systems-level framework for predicting how stressors impact pollinators.
This event is part of our Tuesday Talks series and is open to Reuben members and their guests. Registration details are noted in our Termcard and weekly college newsletters.
Missed out?
You can read the blog post about this event here.
You can watch Heloise Stevance's talk here.
