Dr. Igor Rotin

Business School Professor and Doctoral Supervisor

Nationality: German

Professional Career & Mini Bio

Dr. Igor Rotin is a highly experienced professional with an extensive career spanning over 15 years, during which he has excelled as a Chief Data Scientist and Head of Data and Analytics. He holds a distinguished Ph.D. in Artificial Intelligence, specializing in Natural Language Processing (NLP), earned from the prestigious National Technical University of Radioelectronics in Kharkiv, Ukraine. Dr. Rotin boasts a formidable array of certifications in data science and big data, further solidifying his expertise in these domains. With a deep commitment to the responsible and ethical application of AI, Dr. Rotin is a trailblazer in the field of Generative AI. His core passion revolves around democratizing and industrializing AI, making it accessible and beneficial across various industries. His visionary approach has made a profound impact, particularly in large media and entertainment, manufacturing, airspace and fashion retail companies, where he has consistently empowered C-level executives to leverage the full potential of data and AI to drive substantial business growth.

Dr. Rotin’s strategic acumen shines through in his development and execution of data and analytics strategies that seamlessly align with overarching business objectives. By doing so, he ensures that organizations remain at the forefront of cutting-edge data technology and industry best practices.

In addition to his illustrious career, Dr. Igor Rotin has also contributed significantly to academia. He has served as an esteemed educator, imparting his knowledge by teaching undergraduate and graduate-level courses in Statistics, Forecasting techniques and AI. Moreover, he has played a pivotal role in mentoring and supervising students at various academic levels, including undergraduates, diploma students, and PhD candidates, nurturing the next generation of data science leaders.

Favorite research topics
  • Generative AI
  • AI Ethics and Fairness
  • Natural Language Processing (NLP)
  • Anomaly detection
  • Bias detection and mitigation
  • Machine Learning for Predictive Analytics

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