As’s Chief Algorithms Officer, Dr. Kamelia Aryafar leads the company’s machine learning, data science, data engineering, and analytics functions across the marketing, customer, sourcing, and website verticals. Since joining in 2017, Dr. Aryafar’s teams have integrated state-of-the-art machine learning and artificial intelligence algorithms across various product teams, including personalization, pricing, ranking, search, recommender systems, marketing, CRM, advertising technologies, email, sourcing and supply chain.

With the ability to leverage two decades of customer data, Dr. Aryafar is driving a unique strategy at Overstock. By applying her expertise in machine learning, she is amplifying even greater customer-centricity across Overstock’s web and mobile experiences. From the algorithms that power the search experience to the data used to personalize that experience, she is helping customers discover the most relevant products and information to meet their needs and inspire their wants.

Aryafar transitioned from academia to the industry as a senior machine learning scientist and lead at Etsy in 2013, where she worked with different product teams across several platforms to integrate machine learning and artificial intelligence algorithms throughout the organization. This work allowed her to apply the latest technology in the realm of e-commerce.

Dr. Aryafar holds a Ph.D. and M.Sc. in computer science and machine learning from Drexel University and has published several papers in scientific journals. As an active member of the machine learning community, she frequently speaks at academic and industry conferences focusing on advancing the field of artificial intelligence.