Cheng Zhang is a researcher at the Machine Intelligence and Perception group at Microsoft Research Cambridge. She has received her PhD at the Department of Robotics, Perception and Learning (RPL/ former CVAP), School of Computer Science and Communication, KTH Royal Institute of Technology. Her thesis was on Structured Representation Using Latent Variable Models. Before joining Microsoft, she was a postdoctoral research associate at Disney Research Pittsburgh. She obtained her masters degree in System Control and Robotics from KTH in fall 2011. During her PhD studies, she visited Prof. Neil Lawrence’ group at University of Sheffield in 2013 and was an intern at Microsoft Research Cambridge in the Infer.Net group in summer 2014. She has received two grants from Stiftelsen Promobilia (a Swedish research foundation) for research on robust inference for computer vision tasks where she is the PI. Her joint project with Karolinska Institutet (KI) on patient-centred decision support is funded by a Vinnova (Sweden’s Innovation Agency) UDI step 1 grant. She is active within the areas of machine learning and computer vision, where she has published in multiple research results in conferences such as NIPS, UAI, IROS, ECCV, ICLR etc. She has also served as a reviewer for JMLR, TPAMI, ECCV, ICCV, CVPR, ICML, ICLR, NIPS etc.