Linh Tran (she/her)

Email | CV | Google Scholar | Twitter

I am a Senior Research Scientist at Autodesk AI lab. I also serve as a Board Member for the non-profit organization Women in Machine Learning (WiML). I completed my PhD at the Imperial College London under the supervision of Maja Pantic. Before joining Autodesk, I was a research intern at Google Brain and Samsung AI.

I am generally interested in learning with limited supervision, deep generative modeling, representation learning, and its application to 2D and 3D vision. My research focuses on learning interpretable and human-controllable representations using deep probabilistic modeling. In particular, I am interested in learning representations with limited supervision that generalizes to unseen environments and across tasks. I am excited by applying these methods to 2D and 3D computer vision, fairness, and robotics (vision-based, Sim-to-Real transfer) in which large-scale data is available, however, annotations are scarce. I am also interested in sequential data modeling, approximate inference, and model distillation.

Please contact me if you are interested to collaborate. The Autodesk AI lab has internship positions open every summer.

Outside of work, I enjoy travelling the world with family & friends, gardening on my balcony and trying numerous balancing yoga poses.