Jean-Philippe Vert, Machine Learning for Single Cell Omics
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Jean-Philippe Vert is the chief R&D officer at Owkin, an AI biotech company that uses artificial intelligence to match patients to treatments. Before joining Owkin in 2022, he was a research scientist at Google Brain (2018-2022), where he led a research team working on core machine learning and computational biology, and helped start the Paris lab. Before Google, Jean-Philippe had been a research professor at ENS Paris’ mathematics Department (2016-2018); among other academic positions since ~2000.
His research includes the development of statistical and machine learning methods, particularly to model complex, high-dimensional and structured data, with a focus on computational biology, genomics and precision medicine. His contributions include new mathematical approaches and computational methods to learn from structured data such as strings or graphs, regularization techniques to learn from limited amounts of data, and computationally efficient techniques for pattern detection, feature selection and end-to-end optimization of complex models.
He has worked on medical applications in cancer research including quantifying and modeling cancer heterogeneity, predicting response to therapy, and modeling the genome and epigenome of cancer cells at the single-cell level.