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Ilana Brunschwig is a Senior Data Scientist at Questar Auto Technologies since January 2018, specializing in applied research in cybersecurity, vehicle health management, and predictive maintenance, particularly focusing on anomaly detection in multivariate time series using Machine Learning and Deep Learning algorithms, with experience in productization using Spark in Azure Databricks and AWS ecosystems. Prior experience includes roles as a Machine Learning Research Engineer at General Motors, where algorithms were developed to assess passenger anxiety in autonomous vehicles, and as a Data Scientist at Cybereason and MobileODT, working on malicious URL detection and computer vision for cervix recognition, respectively. Academic qualifications include a Master of Science in Data Science from École Polytechnique and multiple Master's degrees in Computational and Applied Mathematics from ENSTA Paris and Applied Mathematics and Computer Science from Institut Polytechnique de Paris, alongside comprehensive training in Data Science and Cyber Security.