PhD students

I am a third-year PhD student, supervised by Prof Peter Sewell and Prof Neel Krishnaswami.

I am supervised by Prof. Nicholas D. Lane, the head of the CaMLSys group at the Computer Laboratory. My research interests are in the areas of federated learning and edge computing. I am interested in designing privacy-preserving machine learning algorithms to edge devices, particularly federated learning. My current research focuses on optimizing the efficiency of large-scale federated learning settings.

I am a second year PhD student, supervised by Dr Cengiz Öztireli. My research spans computer graphics, computer vision, and machine learning. I seek to enable the easy creation, manipulation, visualisation, and analysis of high-fidelity digital models of reality, with a specific emphasis on the modelling of natural structures. My PhD is funded by the EPSRC Centre for Doctoral Training in Agri-Food Robotics: AgriFoRwArdS.

I am a Ph.D. student working on distributed and statistical learning in the Prorok Lab at The University of Cambridge. I am grateful to be supported by a DeepMind Scholarship. I completed my master's in computer science with a focus on artificial intelligence and bachelor's in mathematics at Stanford University. I previously worked on domain-agnostic and uncertainty-aware contrastive learning with the CoCo lab and large-scale transfer learning for robots at the IRIS lab at Stanford.

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