scikit-learn reposted this
I’m thrilled to announce that I’m stepping up as :probabl.’s CSO (Chief Science Officer) to supercharge scikit-learn and its ecosystem, pursuing my dreams of tools that help go from data to impact. scikit-learn is central to data-scientists’ work. It has grown over more than a decade, supported by volunteers’ time, donations, and grant funding, with a central role of Inria. With :probabl.’s recent seed funding, we have a unique opportunity to accelerate scikit-learn’s development. Our analysis is that to build best on scikit-learn, enterprises need dedicated tooling and partners. Part of scikit-learn’s success has always been to nurture an ecosystem, for instance via its simple API that has become a standard. :probabl. is not only consolidating scikit-learn, but also this ecosystem: the skops project, to put scikit-learn based models in production, the skrub project, that facilitates data preparation. We have an amazing team at :probabl.. Many old-time scikit-learn contributors (Adrin J., Guillaume Lemaitre, Jérémie Du Boisberranger -not on Linkedin-, Loïc Estève, Olivier Grisel) are joined by new contributors (David Arturo Amor Quiroz, François Goupil, Stefanie Senger, and more to come). Working directly with businesses gives us an acute understanding of where the ecosystem can be improved, and I profoundly enjoy working with our top management, François MÉRO and Yann Lechelle, whose intimate understanding of business is very complementary to my background, and our broader :probabl. team, bringing a score of new skills and thinking. As CSO at :probabl., my role will be to nourish our development strategy with understanding of machine learning, data science and open source. Making sure that scikit-learn and its ecosystem are enterprise ready, will bring resources for scikit-learn’s sustainability, enabling its ecosystem to grow into a standard-setting platform for the industry.