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Martin Kopp is an accomplished professional in the fields of machine learning and computer security, currently serving as a Lead Machine Learning Scientist at Cisco. With a strong foundation in software development, they began their career as a programmer and helpdesk support, and later took on research roles at prominent institutions, focusing on anomaly detection and machine learning. Martin earned a Bachelor's degree and an Ing. from the Czech Technical University in Prague, culminating in a Ph.D. in Information Technology from the same institution. Their experience includes leading a team at Cisco Cognitive, where they manage the life-cycle of machine learning solutions for anomaly detection in real-time systems.