Ming Huang, PhD is an Associate Professor at the Center of Translational AI Excellence and Applications in Medicine (TEAM-AI) within the McWilliams School of Biomedical Informatics at UTHealth Houston. Prior to joining UTHealth Houston on June 30, 2023, Dr. Huang held the position of Assistant Professor of Biomedical Informatics in the Department of Artificial Intelligence and Informatics at Mayo Clinic.
Dr. Huang's versatile background spans across computer science, health data science, and health science, endowing him with a wealth of educational training and extensive research experiences. Dr. Huang boasts profound expertise in the development and application of Artificial Intelligence (AI) and Data Mining methods to tackle significant and challenging problems in biomedicine.
Dr. Huang's primary research interest involves advancing Clinical and Translational Research in multiple healthcare domains, for example, mental health, consumer health, and telehealth. He is driven by a strong passion to contribute to healthcare, and his work has made contributions to multiple NIH-funded projects. Notably, he has led the AI and Natural Language Processing (NLP) efforts in an NIH R01 project focused on computational phenotyping and exploring the Social Determinants of Health (SDoH) related to mental health disorders.Additionally, Dr. Huang is serving as a site Principal Investigator (PI) in an NIH R34 project aimed at identifying social media users with vaping-related negative outcomes and the intention of quitting vaping for digital interventions.
Beyond his research pursuits, Dr. Huang actively engages in review and/or editorial services for federal institutions, prestigious journals, national and international conferences, and workshops such as NSF review panel, Lancet – Reg Health, JAMIA, JBI, AMIA, and ACL. He also served as the guest associate editor for Frontiers in AI and Frontiers in Big Data, and the publication chair for IEEE ICHI. Through his dedicated efforts and expertise, Dr. Huang intends to drive progress in the field of AI and healthcare, making a meaningful impact on the advancement of healthcare.