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Hello from Sydney, Australia!

I am a machine learning engineer at Canva, where I work on applied NLP and CV for recommender systems. Before this I completed my undergraduate degree at the University of Melbourne, where I studied Psychology and Computer Science.

I am broadly interested in the intersection between machine learning and cognitive science. At an individual level, I am interested in the computational processes that underpin higher order cognitive abilities such as reasoning and concept learning. At a group level, I am interested in using large natural datasets paired with recent advances in machine learning to better understand the cultural and historical context that shapes our daily lives.

I want to live in a world where boring things are easily automated and people are empowered to spend more of their time discovering and working on whatever they most care about. My long term goal is thus to build flexible AI systems that learn and think like we do, but faster and more transparently too.

Research

Han, S. J., Kelly, P., Winters, J. & Kemp, C. (2022). Simplification is not dominant in the evolution of Chinese characters. Open Mind.

Han, S. J., Ransom, K. J., Perfors, A. & Kemp, C. (2022). Human-like property induction is a challenge for large language models. Proceedings of the 44th Annual Meeting of the Cognitive Science Society.

Butavicius, M., Taib, R., & Han, S. J. (2022).Why people keep falling for phishing scams: The effects of time pressure and deception cues on the detection of phishing emails. Computers and Security.

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