School of Computing
Contact: 864-656-5866 or firstname.lastname@example.org
Brian Dean earned his undergraduate and graduate degrees in computer science from M.I.T., and is currently an associate professor of computer science in the Clemson School of Computing. Brian’s research is in applied algorithms, developing computational techniques and platforms that support the acquisition and analysis of data from a variety of areas of application, primarily biomedical domains. Due to his background in theoretical computer science and applied mathematics, his work uses a wide range of computational methods, such as optimization, machine learning, signal and image processing, and big data analytics. Brian also uses ideas from biology in his computing research, studying “bio-inspired” heuristics for solving large-scale optimization problems. His portfolio of current and past research ranges from fundamental work in biological systems (e.g., protein folding prediction, cellular imaging and mechanical modeling, studying chaotic dynamics in biological systems, and data mining in biological ontologies) through applications in human health (e.g., algorithms for genome-wide association studies, analysis of EEG, MRI, and other biosensor data related to neurological disorders, and modeling radiation in cancer treatment). He currently collaborates with academic and clinical partners at Clemson, MUSC, and the Greenwood Genomics Center.
Brian is currently involved in several projects that could have significant positive impact on health care; they are briefly summarized below:
Computational Neuroscience, Bioinformatics, Genome-wide Association Studies, Data Mining, Machine Learning, Medical Imaging, Biological Modeling