Hy is a senior data scientist at the Social Data Collaboratory at NORC, with over a decade of experience in public health research. Hy's expertise lies in harnessing social media data, employing advanced machine learning techniques, and leveraging natural language processing to derive insights from unstructured data. With a deep understanding of data from various sources, including social media, legacy media, national surveys, marketing, and product sales, Hy focuses on innovative social media research methodologies. This includes the collection and management of unstructured data and the application of AI and machine learning to analyze these data comprehensively.

Hy has played a pivotal role in NIH, NCI, and CDC funded projects, utilizing cutting-edge machine learning algorithms to dissect and understand tobacco product messaging across major social platforms like Twitter/X, Instagram, and Facebook.

Before joining NORC, Hy was a research specialist at the Institute for Health Research and Policy (IHRP), where he developed and deployed innovative methodologies for the acquisition and analysis of tobacco product information in public media.