Kianoosh studied Mathematics and Statistics at the University of Glasgow for my undergraduate degree. He first developed his passion for machine learning, particularly for probabilistic approaches, at the University of Glasgow. This interest deepened during his Bachelor’s dissertation, where he explored sparse Gaussian processes for classification problems. To solidify his foundation in machine learning, he pursued a Master’s in A.I. at Imperial College London, supported by a DeepMind scholarship. Broadly, he is interested in probabilistic models which can both generalise well and provide accurate uncertainty quantification. More specifically, he is interested in non-parametric methods (e.g. Gaussian processes), Bayesian neural networks and the overlap between them. In his spare time, he loves to cycle, produce music and read!
Kianoosh Ashouritaklimi
