Ming Huang

Ming Huang, PhD is an Associate Professor at the Center for Translational AI Excellence and Applications in Medicine (TEAM-AI) within the McWilliams School of Biomedical Informatics at UTHealth Houston. His research focuses on advancing AI and NLP methods to address challenges in clinical and translational healthcare, particularly in mental health, consumer health, and telehealth. He leads NIH-funded projects on computational phenotyping of mental health disorders and vaping-related social media analysis. Previously, he served as an Assistant Professor at Mayo Clinic and held editorial roles in journals like Frontiers in AI and conferences like IEEE ICHI.

Dr. Huang earned his PhD in Scientific Computation from the University of Minnesota (2014) and dual BSc in Computer Science and Applied Chemistry from Beijing Normal University (2004). His work emphasizes leveraging AI for actionable healthcare insights, including patient portal messaging analysis and drug repurposing through EHR data.

His research portfolio includes developing frameworks for suicide risk phenotyping using LLMs, improving digital equity in smoking cessation programs, and analyzing vaping-related public sentiment during health crises. He actively contributes to NSF review panels and NIH grant initiatives, reflecting his leadership in AI-driven healthcare innovation.

Dr. Huang seeks motivated students/postdocs interested in AI/health informatics to tackle real-world healthcare challenges through collaborative, interdisciplinary research. His lab focuses on translating AI advancements into practical tools for clinical and translational medicine.