IUNI has over 165 faculty affiliates from across IU. You may browse through listings below – clicking on a name will expand to show you full listings. You may also search through keywords and biographies in the search bar below.
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|Dzemidzic, Mario||Neurology, Radiology and Imaging Sciences, School of Medicine / IUPUI|
Bio: Dr. Dzemidzic is a research faculty in the Departments of Neurology and Radiology and Imaging Sciences at the IU School of Medicine and has been working on neuroimaging, including connectivity, for almost 20 years. Being a nuclear physicist by training, he is familiar with a range of data acquisition, analysis and software techniques applications. Dr. Dzemidzic’s research focus is in the alcohol research with Drs. David Kareken and Karmen Yoder and he also work with Dr. Andrew Saykin in Alzheimer's disease research. In addition, together with Dr. Robert Considine, he has been involved in applying chemosensory probes to neuroimaging of human eating disorders, such as obesity. Finally, Dr. Dzemidzic is very interested in multi-modal imaging and statistical analysis, the research direction he is pursuing in collaboration with Dr. Jarek Harezlak, whose expertise in biostatistics well complements his imaging expertise. He has also been mentoring a number of junior faculty, postdoctoral fellows and graduate students whose projects are neuroimaging-oriented.
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|Saykin, Andrew J.||Radiology and Imaging Sciences, School of Medicine / IUPUI|
Bio: Dr. Saykin is the Raymond C. Beeler Professor of Radiology and Imaging Sciences at Indiana University School of Medicine where he serves as director of the Indiana Alzheimer Disease Center and of the IU Center for Neuroimaging. He also holds appointments in Medical and Molecular Genetics, Neurology and Psychiatry. Before joining Indiana University in 2006 he served on the faculties of Dartmouth Medical School and the University of Pennsylvania. Dr. Saykin serves as Genetics Core leader of the NIA-sponsored multicenter Alzheimer’s Disease Neuroimaging Initiative (ADNI). Other collaborative federally sponsored projects examine cognitive changes associated with cancer chemotherapy, brain injury and schizophrenia. Dr. Saykin is the founding Editor-in-Chief of Brain Imaging and Behavior. His current research program focuses on the integration of structural, functional and molecular brain imaging with genomic and biomarker methods to study mechanisms of memory dysfunction and therapeutic response. Major goals include development of tools for early detection of dysregulated brain networks in older adults at risk for Alzheimer’s disease and identification of novel therapeutic targets based on imaging genetics association studies.
Disciplines: Radiology and Imaging Sciences
|Shen, Li||Radiology and Imaging Sciences, School of Medicine / IUPUI|
Bio: Dr. Li Shen holds a B.S. degree from Xi'an Jiao Tong University, an M.S. degree from Shanghai Jiao Tong University, and a Ph.D. degree from Dartmouth College, all in Computer Science. Dr. Shen is an Associate Professor of Radiology and Imaging Sciences at Indiana University School of Medicine (IUSM), and Associate Director of IU Center for Computational Biology and Bioinformatics (CCBB). He is the Executive Director of the MICCAI Society Board of Directors. He is a member of the Center for Neuroimaging, the Center for Computational Biology and Bioinformatics, and the Stark Neurosciences Research Institute at IUSM, and IU Network Science Institute. He is also affiliated with Departments of CIS, ECE and Biostatistics, and School of Informatics and Computing at IUPUI. His research interests include medical image computing, bioinformatics, data mining, and network science. The central theme of his lab is focused on developing computational and informatics methods for integrative analysis of multimodal imaging data, high throughput "omics" data, fluid and cognitive biomarker data, and rich biological knowledge such as pathways and networks, with applications to various complex disorders. The ultimate goal is to improve mechanistic understanding of disease processes and treatment responses for early diagnosis and therapeutics. His research is primarily funded by NIH (NLM, NIA, NIBIB, NIAAA, NCATS), NSF, DOD and NCAA. Further information about Dr. Shen's research activities is available at http://www.iu.edu/~shenlab/.
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|Wu, Xiaogang||Center for Computational Biology and Bioinformatics, School of Informatics and Computing / IUPUI|
Bio: Xiaogang Wu received his PhD degree in 2005 on Control Science and Engineering from Huazhong University of Science & Technology (HUST), Wuhan, China. One year after that, he was appointed to associate professor of the Institute for Pattern Recognition and Artificial Intelligence (IPRAI) in HUST. He has over 10 years of research experience in image processing, machine learning, artificial intelligence, pattern recognition, chaotic dynamics and complex systems. His previous research focused on nonlinear dynamical analysis of complex models, especially estimating parameters of chaotic systems by nonlinear time series analysis, symbolic dynamics and chaos synchronization, etc. He is currently a Bioinformatics Scientist in the Hood Lab at Institute for Systems Biology (ISB). Before he joined ISB, he was a Research Scientist in the School of Informatics and Computing (SoIC) at Indiana University-Purdue University Indianapolis (IUPUI). He was also affiliated with Indiana Center for Systems Biology and Personalized Medicine (CSBPM, a signature center in Indiana University-Purdue University at Indianapolis). His current research focuses on bioinformatics and systems biology, e.g., applying machine learning, swarm intelligence, and complex network modeling techniques into identifying systems biomarkers for early diagnosis and predicting drug responses based on systems pharmacology. He is also an Associate Editor of Frontiers in Systems Biology since 2009.
Disciplines: biologychaos theoryinformaticsintellegent systemsmedical and molecular geneticsnonlinear dynamicspublic health