Javier González Hernández 

Javier González is a Principal Researcher in the Biological NLP/Real World Evidence group at Health Futures, Microsoft. Javier works in machine methods for healthcare with special focus on uncertainty quantification and causal inference for precision medicine. Before joining Microsoft, Javier was leading a team in Amazon that developed and deployed machine learning methods for Prime Air, Alexa and the Amazon's supply chain. Before that, he was a researcher associate at the machine learning group of the University of Sheffield where he worked on Bayesian optimization methods to scale the production of drugs compounds using hamster cells. Javier co-founded Inferentia Ltd. toguether with Andreas Damianou, Zhenwen Dai and Neil Lawrence, a machine learning start-up that was acquired by Amazon in 2016. Between 2011 and 2013, Javier was post-doc at the University of Groningen where he worked on machine learning approaches to understand the dynamics of biological systems, in particular the causes of aging in yeast.  Javier got his PhD in 2010 at Carlos III university of Madrid.