Linh Tran (she/her), Ph.D.

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I am a Research Scientist at Meta working on deep generative models, in particular Text-to-Image Diffusion Models. Before joining Meta, I was a Senior Research Scientist at Autodesk AI lab and interned at Google Brain and Samsung AI. Before my time in industry, I spent several years at Imperial College London completing my PhD under the supervision of Maja Pantic.

I am generally interested in deep probablisitc modeling, learning with limited supervision, and representation learning. I am excited to apply these methods to 2D and 3D computer vision and robotics (vision-based, Sim-to-Real transfer). Further, I am also interested in developing interpretable and trustworthy machine learning models. My PhD research focused on learning interpretable and human-controllable representations using deep generative modeling.

I have been volunteering for several non-profit organizations. I was fortunate to be one of the organizers of the Women in Machine Learning (WiML) workshop (co-located at NeurIPS) in 2021. I served as a Board Member for the non-profit organization Women in Machine Learning (WiML) from April 2022 until July 2023. In collaboration with Autodesk Foundation and Bridges to Prosperity,, I led a multi-disciplinary team over six months, analyzing geospatial data and developing deep learning models for remote bridge site identification in 2022.

Outside of work, I am mum to a little toddler called Milo. I enjoy being creative, organising events for friends & family, travelling the world, gardening and yoga.

I am always happy to chat about research and possibilities of collaborations. Feel free to drop me an email.