Colloquium: Cui Tao (University of Texas Health Science Center at Houston)


Title: Applying Ontology and Semantic Web Technologies to Biomedical Research

Speaker: Cui Tao, PhD

Associate Professor

School of Biomedical Informatics

University of Texas Health Science Center at Houston

The explosively growing big biomedical data provides enormous opportunities to revolutionize the current clinical practices as well as the biomedical research if the accompanied challenges of heterogeneity in knowledge discovery on biomedical big data can be addressed with novel informatics technologies. Our team has been working on developing semantic technologies to normalize, integrate, query, and analyze the massive volumes of biomedical data as well as to infer new knowledge based on what is known. The core technologies we are developing are based on ontologies and the Semantic Web. Here we share our vision on applying semantic web techniques to clinical knowledge and data representation, as well as to retrieve useful information and knowledge from EHR or online resources. In particular, we will introduce our efforts on (1) representing and normalizing large-scale EHR data in semantic web notations to enable automatic consistency checking and semantic reasoning; (2) temporal information modeling, extraction, and reasoning for patient medical history and time trending analysis; and (3) using semantic queries for patient education.


Dr. Cui Tao is a tenured associate professor at the School of Biomedical Informatics, University of Texas Health Science Center at Houston. She is a recipient of the prestigious Presidential Early Career Award for Scientists and Engineers (PECASE) of 2014 named by President Obama. Dr. Tao received her PhD and MS in Computer Science from Brigham Young University and her BS from Beijing Normal University in China major in Biology and Computer Science. She is an expert in medical informatics with focus on ontologies, semantic web, biomedical data and knowledge extraction, normalization, and integration, as well as applying artificial intelligent technologies on biomedical applications. Dr. Tao has been a principal investigator (PI) or a co-investigator (co-I) of projects supported by over $60 Million in federal or state funding. She is currently the PI for three NIH funded projects with over $6 million funding. Dr. Tao has published more than 100 peer-reviewed articles and has served as a reviewer for many different journal and conferences.

Location: UTA 5.522 (1616 Guadalupe St., 5th Floor)


1:15pm to 2:30pm


glqxz9283 sfy39587stf02 mnesdcuix8