The Paris Team
Fanny is a Software Engineer at Criteo. She works in the Machine Learning team, where she does maths and plays with Spark, TensorFlow and so many other things, to improve the prediction models by applying state-of-the-art machine learning algorithms. She has a M.Sc. in computer science and machine learning from EPITA (Paris, France), and is a qualified graduate engineer. She loves promoting tech careers.
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. Twitter: @cazencott.
Chiara is a Data Scientist and Software Engineer at Criteo, where she works on feature engineering and model design to improve the quality of Criteo predictions with Machine Learning. She holds a PhD in Theoretical Physics from the University of Basel, where she studied the fate of cosmic dust after a supernova explosion. She is keen on helping women navigate the STEM career landscape, and on the broader topic of applying academic skills to industry.
Caroline is a Senior R&D Recruiter at Criteo, a global company pioneering innovation in online advertising. She is working alongside the VP Head of Research and Engineering Directors of Criteo. 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!