I received my BEng in Artificial Intelligence and Software Engineering in 2017 from the University of Edinburgh, where I graduated top of my class, taking the Department Prize and the Howe Prize for the best performance in Artificial Intelligence.
I pursued my PhD and first postdoc at the University of Cambridge's Biologically Inspired Robotics Laboratory under Prof. Fumiya Iida, working on machine learning for sensory perception and action in robotic systems.
In 2021 I joined Naver Corp. as a visiting AI research scientist, on learning representations, robustness and generalisation in deep learning. From 2021 to 2023 I held a postdoctoral fellowship at Harvard University and Dana-Farber, working closely with Dr Ming-Ru Wu on using machine learning to answer basic questions in tumour biology and immunotherapy — with the goal of improving the quality and efficiency of cancer treatment.
In 2023 I joined Yoshua Bengio's group at the Mila AI Institute as a postdoctoral fellow, where my work focused on generative AI and probabilistic inference, along with applications to drug discovery and robotics. Most recently I was a research scientist at Sapient Intelligence, working on generative AI and probabilistic inference for reasoning, language and vision, where we released HRM-Text and Unigen — state-of-the-art models at their size for language and vision.
