Daniela Massiceti is a Staff Research Scientist and Research Lead at Canva Research with over a decade of experience at the intersection of vision and language, focusing on safe and responsible multimodal ML. She combines deep academic rigor—a PhD in Computer Vision and an MSc in Neuroscience from Oxford—with product impact, having shipped features in Microsoft PowerPoint and Seeing AI, filed three patents, and won Microsoft’s global hackathon. Daniela has a strong publication record with oral first-author papers at NeurIPS, ICLR and CVPR, and a track record of turning research into real-world deployments, including assistive tech for the visually impaired. Based in Sydney, she is a long-time contributor to diversity initiatives like the Deep Learning Indaba, reflecting a commitment to inclusive ML communities as well as technical excellence.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Engineering Science (Computer Vision/Machine Learning), Doctor of Philosophy (Ph.D.) Engineering Science (Computer Vision/Machine Learning) at University of Oxford
B.Sc (Engineering) Electrical and Computer, B.Sc (Engineering) Electrical and Computer at University of Cape Town
The ORBIT dataset is a collection of videos of objects in clean and cluttered scenes recorded by people who are blind/low-vision on a mobile phone. The dataset is presented with a teachable object recognition benchmark task which aims to drive few-shot learning on challenging real-world data.
Contributions:13 reviews, 141 commits, 7 PRs in 1 year 9 months
Contributions:122 pushes, 1 branch in 3 years 2 months
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Daniela Massiceti - Staff Research Scientist at Canva