Welcome

                        

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 NIPS 2018 (as a spotlight), "Heterogeneous Multi-output Gaussian Process Prediction", with Pablo Moreno-Muñoz and Antonio Artés-Rodríguez

New preprint, "Physically-inspired Gaussian processes for transcriptional regulation in Drosophila melanogaster", with Andrés F. López-Lopera and Nicolas Durrande. 

New preprint, "Bayesian inversion of a diffusion evolution equation with application to Biology", with Jean-Charles Croix and Nicolas Durrande. 
 
Accepted paper at MLSP 2018, "Nonlinear Probabilistic Latent Variable Models For Groupwise Correspondence Analysis In Brain Structures", with Hernán F. García and Álvaro A. Orozco. 

Paper at UAI 2018, "Fast Kernel Approximations for Latent Force Models and Convolved Multiple-Output Gaussian Processes", with Cristian D. Guarnizo.

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

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





















































































































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