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Lecturer in Machine Learning
Department of Computer Science
University of Sheffield
Sheffield, UK

Member of the Machine Learning Group at Sheffield
Admissions Tutor For the MSc in Data Analytics and the MSc in Computer Science with Speech and Language Processing.

About me

I am interested in machine learning in general, its interplay with mathematics and statistics and its applications. In particular, my research interests include probabilistic models, kernel methods, and stochastic processes. I work on the development of new probabilistic models and their application in different engineering and scientific areas that include Neuroscience, Neural Engineering, Systems biology, and Humanoid Robotics.

News

Accepted paper at IEEE Transaction on Power Systems, "Bayesian Probabilistic Power Flow Analysis Using Jacobian Approximate Bayesian Computation", with Carlos D. Zuluaga.

Accepted paper at AISTATS 2018, "Differentially Private Regression with Gaussian processes" with Michael Smith, Max Zwiessele and Neil Lawrence.

Workshop at NIPS 2017, "Transparent and Interpretable Machine Learning in Safety Critical Environments" with Alessandra Tosi and Alfredo Vellido. 

Paper at NIPS 2017, "Efficient modeling of latent information in supervised learning using Gaussian processes" with Zhenwen Dai and Neil Lawrence. 



















































































































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