The Paris Team
Chloe-Agathe is a research scientist at the Centre for Computational Biology of MINES ParisTech and Institut Curie (Paris, France). She holds a PhD in computer science from the University of California Irvine (USA). Her research revolves around the development of machine learning methods for therapeutic research, with applications ranging from drug discovery to precision medicine. She gave her first research talk ever in 2006, at the first WiML meeting.
Caroline is the Head of Tech Talent Acquisition at Agorize which is the leading platform for online innovation challenges. Holding a Master's degree from the Paris Institute of Political Science (Sciences Po) and recruiting Data Scientists, Machine Learning Engineers and Researchers, Caroline has always been passionate about encouraging women to network, speak at conferences and present their work to peers. Highly involved in promoting diversity in engineering teams, Caroline met Chloé-Agathe Azencott during the ICLR Conference 2017. Together, they decided to open the French chapter of Women in Machine Learning and Data Science in Paris!
Natalie is a former academic converted to tech. She holds a BA from University of Latvia, MPhil and PhD from University of Cambridge, and has worked in research and management roles for University of Cambridge, CNRS, and Keio University. As Director of Partnerships in a French edtech startup, she launched three online degrees in data science, the first ever in France and Europe. She is passionate about life-long learning, skill development, and non-linear careers, and believes that diversity is the spice of life
Previously Director of Research in a French edtech startup, Marie Sacksick is now Senior Data Scientist at CybelAngel. She is in charge of building Machine Learning models to automatically detect data leaks and organizing the team. Marie holds a Engineering degree from Ecole Centrale de Lyon, as well as a Research MSc degree in Maths from the University of Lyon. Although she chose to specialize in Machine Learning, she is passionate about sciences in general. She loves to work on complex maths problems related to projects with positive impact on society.
Betty Moreschini is a Data Engineer at Veepee (formerly vente-privee), where she is working on recommender systems and demand forecasting. Betty holds a masters degree in Computer Science and Micro Electronics from the engineering school Mines de Saint Etienne. She has a passion for data and complex algorithms, and has worked before on diverse subjects such as AB testing, genetic algorithms, code refactoring and generation. At WiMLDS Paris, Betty organizes our #BBLWiMLDSParis session which are also known as our Paper Reading Sessions.