Dr. Yongshao Ruan
About Dr. Yongshao Ruan
Dr. Yongshao Ruan is a Principal Engineer at Audere, specializing in AI solutions for global health challenges. He holds a Ph.D. in Computer Science from the University of Washington and has contributed to research on malaria rapid diagnostic tests and AI applications in healthcare.
Work at Audere
Dr. Yongshao Ruan has been serving as Principal Engineer at Audere since 2020. In this role, he focuses on developing AI-powered solutions aimed at addressing global health challenges. His work is particularly centered on creating technology solutions that benefit under-served communities. Dr. Ruan's expertise in engineering and artificial intelligence plays a critical role in advancing the organization's mission to improve health outcomes through innovative diagnostic tools.
Education and Expertise
Dr. Yongshao Ruan earned his Doctor of Philosophy (Ph.D.) in Computer Science from the University of Washington, where he studied from 1998 to 2004. His academic background provides a strong foundation for his work in engineering and artificial intelligence. Dr. Ruan's research interests include the application of AI in healthcare, specifically in the development of diagnostic tools for diseases such as malaria, HIV, and COVID-19.
Background
Before joining Audere, Dr. Ruan worked at SourceLabs as a Developer from 2005 to 2009 and at VMware from 2009 to 2013, accumulating a total of eight years of experience in software development. His career has been marked by a commitment to leveraging technology for social good, particularly in the healthcare sector. Dr. Ruan has been involved in various research initiatives aimed at improving diagnostic accuracy and accessibility.
Research Contributions
Dr. Ruan has made significant contributions to research in the field of rapid diagnostic tests (RDTs). He participated in a study focused on transforming rapid diagnostic tests into trusted diagnostic tools using AI. Additionally, he co-authored a paper examining the interpretation accuracy of malaria RDTs by frontline health workers in comparison to AI. His research has been presented at prominent conferences, including the 2023 IEEE Conference on Artificial Intelligence.
Focus on Global Health Challenges
Since 2020, Dr. Ruan has been dedicated to building AI solutions that specifically target global health challenges. His work addresses critical diseases such as malaria, HIV, and COVID-19, aiming to improve diagnostic capabilities and health outcomes in under-served communities. Dr. Ruan's efforts reflect a commitment to using technology to enhance healthcare access and effectiveness.