Embeddings of databases for analytics robust to alignment errors
Gael Varoquaux
INRIA Paris
AG5 Talk
http://gael-varoquaux.info
Gaël Varoquaux is a research director working on data science and health at Inria (French Computer Science National research). His research focuses on statistical-learning tools for data science and scientific inference, with an eye on applications in health and social science. He develops tools to make machine learning easier, with statistical models suited for real-life, uncurated data, and software for data science. For example, since 2008, he has been exploring data-intensive approaches to understand brain function and mental health. He co-funded scikit-learn, one of the reference machine-learning toolboxes, and helped build various central tools for data analysis in Python. Varoquaux has a PhD in quantum physics and is a graduate from Ecole Normale Superieure, Paris.