Amay Cheam is currently a postdoctoral fellow at HEC Montréal and at Tech3Lab under the supervision of Professor Marc Fredette (HEC Montréal). She completed her PhD under Professor Paul D. McNicholas at McMaster University in Mathematics/Statistics where her main focus was on clustering and mixture models. Using Gaussian mixture models, she proposed an alternative to model the known receiver operating characteristic curves. Following a similar mindset, she proposed a new mixture to cluster spatiotemporal data, more specifically by defining each mixture component as a mixture of autoregressive polynomial regressions in which the weights consider the spatial and temporal information with logistic link. Prior to that, she received her master’s degree in Biostatistics (Mathematics/Statistics Department) at the University of Ottawa. Continuing her previous work, Dr. Cheam’s postdoctoral work focuses on curve clustering. She is working on nonparametric clustering of translated curves using wavelets. Aside from clustering and classification, her other research interests include biostatistics, computational statistics and mixture models.