UCL School of Life and Medical Sciences


UCL NeuroAI Talk Series | Kelsey Allen

16 February 2022, 2:00 pm–3:00 pm


Event Information

Open to





Sabrina Boxhill – SLMS Research Coordination Office

About the event

NeuroAI is a series of themed talks organised by the UCL NeuroAI community. This month's speaker is Kelsey Allen (DeepMind).

Talk title: "Towards a recipe for physical reasoning in humans and machines"

All other upcoming talks can be found here.

About NeuroAI

The last decade has seen phenomenal advances in the field of machine learning (AI) (e.g. deep learning, reinforcement learning). Such is the change that no area of science can afford to ignore it, least of all neuroscience.

Crucially, AI shares a common lineage with neuroscience, and provides a means to emulate neural functions and the circuits supporting them, delivering a normative understanding of the brain and cognition (e.g. Banino et al., 2018; Stringer et al. 2019; Dabney et al., 2020).

Equally AI tools provide a means to discover, segment, and track distinct neural and behavioural states (e.g. Mathis et al., 2018; Frey et al., 2019) - yielding more efficient experiments and accelerating the pace of discovery. In turn, this understanding feeds back into the design of more effective AI architectures and models (e.g. Sabour et al., 2017; Stringer et al, 2019, Dabney et al., 2020).

Essentially, AI problems posed in neuroscience both require and inspire further advances in AI.

About the Speaker

Kelsey Allen

Research Scientist at DeepMind

I am currently a research scientist at DeepMind. I completed my PhD under the supervision of Josh Tenenbaum in the Computational Cognitive Science group at MIT, and received my B.Sc. from the University of British Columbia in Physics.

More about Kelsey Allen