Amin Kiani is a data scientist with extensive experience in developing machine learning-based control systems for optimizing digital campaigns, currently employed at Continental since September 2021 and previously at GroupM from August 2018 to August 2021. Kiani's academic background includes a PhD in Physics from RWTH Aachen University and a Master’s and Bachelor’s degree in Physics from Isfahan University of Technology. Professional experience also includes significant research roles at Forschungszentrum Jülich, focusing on physical modeling and Quantum-Monte-Carlo simulations of high-temperature superconductor materials, and contributions as a research assistant developing methods for many-body systems. Kiani has also served as a Physics 1 Lab Instructor at Isfahan University of Technology.
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