COMPREDICT
Omid Charrakh is a Machine Learning Researcher at COMPREDICT since July 2023, following extensive academic experience at Ludwig-Maximilians-Universität München, where a Doctor of Philosophy in Quantum Causal Modeling was obtained in March 2023. Prior roles at LMU included research and teaching positions, focusing on causal modeling, machine learning, and projects such as wildlifeML, a computer-vision initiative. Charrakh's background also encompasses research on thermal noise simulations in high-frequency electronics and contributions to projects involving micro-satellites and robotics at Amirkabir University of Technology, where a Bachelor of Science in Electrical, Electronics and Communications Engineering was earned.