I am a staff research scientist at DeepMind, where, as a member of the neuroscience team, I am interested in creating and understanding novel approaches for learning and meta-learning in a reinforcement learning context, inspired by the latest advancements in cognitive neuroscience. I obtained my Ph.D in Applied Physics from the University of Michigan, where I studied complex systems, physics, and computational neuroscience, before moving on to conduct research in cognitive neuroscience at Northwestern University.
In my spare time, I enjoy science fiction, aerial arts, nature, and intense but short-lived dabbles in writing.
All thoughts and writings presented here are my own and do not represent DeepMind.
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Looking forward to participating in the great Brain Debate today at #FENS2022 (albeit virtually due to the recent f… https://t.co/pJpE5zKBQC
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RT @TheCrick: We’re excited to welcome @DeepMind to the Crick where they’ll set up a new lab to apply #AI and #machinelearning to… https://t.co/Iq3UrOJGqO
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Why has my whole feed turned into my freshman year philosophy class?
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RT @akjagadish: I will be presenting our work “Probing Compositional Inference in Natural and Artificial Agents” as a poster (P.67)… https://t.co/ZDl9BneQ9j
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This is going to be an entire new subfield - the psychology and cognitive science of large-scale models. These pa… https://t.co/765Tuk3Z34
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RT @LindauerMarius: To accommodate journal track submissions, we extended the early-bird rates of our #AutoMLConf a bit until May 27th.… https://t.co/xmY5fZDQFO
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RT @scychan_brains: Intriguingly, transformers can achieve few-shot learning (FSL) without being explicitly trained for it. Very excit… https://t.co/bw3ZxvqSlq