Weights & Biases
Thomas Capelle has been working in the field of Machine Learning since 2021, when they began their role as a Machine Learning Engineer at Weights & Biases. Prior to this, they were a Machine Learning Engineer at Steadysun from 2020. From 2018 to 2020, they were an Engineer at CEA, where they worked on modelling bifacial PV systems and time series forecasting using neural networks. From 2013 to 2018, they held multiple roles at Inria, including post doc, PHD Student, and Engineer for the STEEP project. Thomas also held a Teaching Assistant role at the University of Joseph Fourier, Grenoble from 2013, and an Assistant Professor role at Universidad de los Andes from 2010.
Thomas Capelle completed their Doctor of Philosophy - PhD in Mathematics and Computer Science at Université Grenoble Alpes from 2013-2016. Prior to this, they obtained a Master's degree in Transportation and Logistics from Universidad de Chile from 2010-2012. During their Master's thesis, they also completed the Canada-Chile Leadership Program at Polytechnique Montréal in 2011. Finally, they obtained an Engineer's degree in Applied Mathematics from Universidad de Chile from 2004-2012.
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Weights & Biases
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Performance Visualization tools for Machine Learning that excel at Scale! Weights & Biases helps companies turn deep learning research projects into deployed software by helping teams track their models, visualize model performance and easily automate training and improving models.