Thomas Hsiung

Thomas Hsiung currently serves as a Data Scientist - Research Analyst IV at the OC Health Care Agency, where he plays a pivotal role in advancing data science initiatives for Behavioral Health Services. With a robust background in data science and software engineering, Thomas leads interdisciplinary teams to harness the power of machine learning and mathematical modeling, transforming complex datasets into actionable insights that drive public health strategies. His expertise spans various industries, including public health, mental health, manufacturing, and non-profits, allowing him to approach challenges with a well-rounded perspective.

At the OC Health Care Agency, Thomas is instrumental in integrating data from diverse external sources, such as vendors and electronic health records (EHRs), alongside internal databases like Azure. By employing a standard medallion architecture, he ensures that data flows seamlessly, facilitating comprehensive analyses that inform decision-making processes. His innovative approach to designing new data collection methods and metrics has significantly enhanced the agency's capacity to evaluate and improve behavioral health services.

In addition to his technical skills in statistical data analysis, data modeling, and natural language processing (NLP), Thomas is adept at project management, guiding teams through the complexities of data-driven projects. His proficiency in tools such as SQL, MySQL, and Django enables him to develop robust models and applications that support the agency's mission. Through his work, Thomas not only contributes to the enhancement of mental health services but also champions the importance of data integrity and accessibility in public health initiatives.