Michel Valstar works in the field of machine learning and computer vision, where his expertise is in face and facial expression analysis. Before his position at Nottingham, he was a visiting researcher at the MIT Media Lab with Prof Rosalind Picard, and before that a postdoctoral researcher with Prof Maja Pantic at Imperial College London. He was the organiser of the first facial expression recognition challenge (FERA 2011) and the first and second audio-visual emotion recognition challenges (AVEC 2011/12), as well as the first conference for researchers in affective computing and social signal processing in the UK (AC.UK 2012). To date, four years after obtaining his PhD, he has published his work in more than 30 peer-reviewed articles, with a total citation count of over 1100 and an H-Index of 17. He has contributed significantly to the objective analysis of facial expressions by automating FACS, pioneered research on the analysis of facial dynamics, and recently contributed to the field of facial structure analysis, taking the state of the art in facial point localisation to a next level. He was lead researcher for the video analysis components on the awarded SEMAINE project funded by the European Community's Seventh Framework Programme (FP7/2007-2013).