An accomplished researcher and educator, Navid has cultivated a diverse academic and professional background spanning physics, quantum computing, and artificial intelligence. Originally graduating with a degree in physics from Shiraz University in 2009, Navid embarked on an international academic journey, moving to Canada to deepen their expertise in quantum computers at Dalhousie University where they completed their master's degree.

Driven by a passion for cutting-edge technology, Navid furthered their research in quantum computing as a Ph.D. student at the University of Calgary. This rigorous research laid a solid foundation for their transition into the fields of machine learning and data science. Since 2017, Navid has been immersed in these disciplines, demonstrating a keen ability to adapt and innovate. They also earned a master's degree in Data Science from the University of Calgary, underscoring their commitment to continual learning and expertise.

Currently, Navid serves as an instructor in artificial intelligence at the University of Calgary, where they inspire and educate the next generation of AI experts. Their courses cover a broad range of AI topics, with a particular focus on machine learning applications and theoretical advancements. Beyond the classroom, Navid actively contributes to the AI community, engaging in research that bridges theoretical underpinnings with practical implementations.

Navid's professional and academic journeys reflect a deep-seated dedication to advancing technology and education, marking them as a leading figure in the interdisciplinary realms of AI and data science.

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