Hui Yang

Hui Yang is an Associate Professor in the Department of Computer Science at San Francisco State University (SFSU), with a secondary affiliation in the Center for Computing for Life Sciences (CCLS). He holds a PhD in Computer Science from The Ohio State University (2006) under Dr. Srinivasan Parthasarathy. His research focuses on Data Mining and Text Analytics, particularly in biomedical applications such as food-disease-gene networks, clinical note analysis, and microarray data visualization (e.g., XMAS system). He also explores structural analysis of protein folding data.

Education:

• PhD in Computer Science, The Ohio State University, 2006

Research Interests:

• Biomedical text mining for health networks and clinical informatics
• Development of data visualization tools for biological datasets
• Application of machine learning in education and public health
• Spatio-temporal analysis for social and urban data

Notable Contributions:

• Received Best Poster Award at IEEE Computing Conferences 2017
• Co-developed the XMAS system for microarray data exploration
• Active in curriculum design and student retention research

Advising & Grants:

• Advises undergraduate and graduate students in CS curricula (e.g., CSC869 Data Mining)
• Maintains a research lab with RA positions in data mining and bioinformatics
• Collaborates with institutions like Genentech and IBM Almaden

Labs & Teams:

Leads the CCLS at SFSU, focusing on interdisciplinary computing solutions in life sciences.