Under my co-supervision, Thomas has been working on combining cutting-edge DNA sequencing with powerful machine learning to develop new methods to recover and analyze genomes of microbes, and link them to environmental data.
As research assistant in my group, Luis A. Ortega and I collaborated on ensembles of neural networks, developing methods and empirical studies on how diversity and probabilistic modelling improve their predictive performance.
As supervisor of Javier Cozar, I worked with him on the development of InferPy and related methods for making deep probabilistic modelling more accessible, contributing together to software design, model formulation, and empirical validation.
As Rafael Cabañas’s post-doctoral supervisor, I collaborated with him on developing probabilistic models that integrate deep neural networks, leading to joint publications on scalable inference, software tools, and uncertainty-aware decision models.