Athena Kalabokis serves as the Chief Data Scientist at SAS, where she leads and shapes the company's data science strategy and innovation. With a strong academic background including a Ph.D. in Computer Science from North Carolina State University, her expertise spans artificial intelligence, machine learning, natural language processing, computer vision, and responsible AI development. Athena is passionate about translating complex data into actionable insights and driving business value through advanced analytics. She is a recognized thought leader, frequently speaking at industry conferences and contributing to the advancement of data science practices, particularly in areas like ethical AI and leveraging AI for societal good.
Athena Kalabokis's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Leads the vision, strategy, and execution for data science and AI initiatives at SAS, a global leader in analytics, driving innovation and the development of cutting-edge analytical solutions for global clients.
Completed doctoral research focusing on advanced computational methods, likely in areas related to artificial intelligence and machine learning, providing a deep theoretical and practical foundation for her work.
Recognized as a finalist for a prestigious award by the Women in Analytics (WIA) community, highlighting her significant contributions, leadership, and impact in the field of data science.
Regularly presents at major industry conferences (e.g., ODSCE, SAS Innovate) and shares insights on AI, machine learning, and responsible AI, contributing to the broader data science community and shaping future trends.
Actively promotes and works on the development and deployment of AI systems that are fair, transparent, and accountable, emphasizing the importance of ethical considerations in data science.
Questrom School of Business, Boston University - Year 2015
Lawrence Academy at Groton - Year 2011
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