Guanglan Zhang

Place your photo here Assistant Professor
Faculty Coordinator, Health Informatics Program
Computer Science Department
Metropolitan College
Boston University

Address: Room 254, 808 Commonwealth Ave, Boston
Office phone: 617-358-5164

Publications Courses Resources MET Health Informatics Lab

Research Interest

Guanglan Zhang is an Assistant Professor and the faculty coordinator of the Health Informatics Program at Computer Science Department, Metropolitan College (MET) at Boston University. She leads the research activities at MET health informatics research lab. She is also an adjunct member of Bioinformatics Core at Cancer Vaccine Center (CVC), Dana-Farber Cancer Institute (DFCI) and Harvard Medical School.

During the many years of pursuing research in biomedical and health sciences, Guanglan has authored more than 50 publications and developed more than a dozen online computational systems. Through the development of advanced computational solutions, she contributes to the rapid progress of basic and applied biology and biomedicine. One of her research focus is in immunoinformatics, specifically on the development of computational algorithms in immunological sciences. Her research interests include computational modeling of complex biological processes, such as the identification of vaccine targets, the development of KB-builder - a framework for rapid development of next-generation biological databases, the building of analytical tools for pattern recognition from biomedical data, and the design of diagnostic tools. Another of her research focus is in health informatics, specifically on the implementation of medical algorithms.

Recent Research Activities

I was invited to give a talk titled "Big Data Analytics in Immunology: A Knowledge-Based Approach" at 2015 Symposium on Immune Modeling in Big Data Era, Rochester, NY, USA.

Pfizer has awarded a research grant to Professors Vladimir Brusic and Guanglan Zhang to develop next-generation immunogenicity prediction tools. This project will enable a high degree of accuracy for predicting immunogenicity as it will for the first time generate an in silico tool modeled on relevant analytical data generated in Pfizer and elsewhere, which accounts for both processing and presentation of peptides by the immune system.

We are organizing the Fifth Immunoinformatics and Computational Immunology Workshop (ICIW 2014) to be held in conjunction with ACM International Conference on Bioinformatics and Computational Biology (ACM-BCB), September 20-23, 2014, Newport Beach, CA. The main theme of the workshop is “Bridging Immunology and Computer Science”. Nowadays computational methods are integral to virtually every research and development project in every discipline. Immunology is not an exception and the need for sophisticated computational methods for research and development in immunology is increasing. At the same time, because of the extreme domain complexity of immunology, the lag between availability of sophisticated computational methods and their implementation in this field is increasing. There is ever growing need of computational methods for developing new vaccines and cancer immunotherapy and improving our knowledge and understanding of the immune system. Complementing laboratory experiments, computer approaches speed up knowledge discovery in immunology. The ICIW 2014 invites submission of original papers and posters describing previously unpublished research and development on recent advances in the field of immunoinformatics and computational immunology.