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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|Apostolova, Liana||Neurology, School of Medicine / IUPUI|
Bio: Liana G. Apostolova, MD, MSc, FAAN joined the IU School of Medicine as the Barbara and Peer Baekgaard Professor in Neurology, Radiology, Medical and Molecular Genetics at in June of 2015. She graduated Summa cum Laude from the Medical University, Sofia, Bulgaria in 1998, and completed Neurology residency training at University of Iowa and Dementia fellowship at UCLA. Dr. Apostolova is a prolific researcher with over 60 original peer-reviewed publications. Her research focuses on the early symptomatic and presymptomatic stages of Alzheimer's Disease and on the development and validation of sensitive imaging and genetic biomarkers for Alzheimer's disease and other dementing disorders. She is the Founding Director of the UCLA-Easton Neuroimaging Laboratory. Dr. Apostolova is former recipient of the highly prestigious K23 Beeson Career Development Award as well as several grants form the NIH, private foundations and industry. She was awarded the 2010 American Academy of Neurology Research Award in Geriatric Neurology, the 2010 American Federation for Aging Research GE-Healthcare Junior Investigator Award for Excellence in Imaging and Aging Research and the 2007 Turken Research Award. Dr. Apostolova has served as a research mentor to over 50 undergraduate, 16 graduate and 3 post-graduate students, as well as 3 junior faculty researchers to date. She serves as a Senior Associate Editor for the Alzheimer’s and Dementia: Disease Assessment and Monitoring journal and as the Chair of the Neuroimaging Professional Interest Area of the Alzheimer’s Association.
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|Macklin, Paul||Intelligent Systems Engineering, School of Informatics and Computing / Bloomington|
Bio: I work in the newly-formed Department of Intelligent Systems Engineering, where I am helping to start the bioengineering track. My work involves developing sophisticated, multiscale models of tissues and organisms that show dynamical cross-talk and feedbacks between networks at multiple scales: genetics, epigenetics, RNA transcription, protein dynamics, cell phenotype, cell and tissue mechanics, multicellular communications through chemical and mechanical signals, tissue remodeling, networked physiologic subsystems (e.g., immune system, cardiovascular system, etc.), organism-scale health/behavior, and the epidemiologic scale that emerges from the distribution of individual traits. Most of my prior work has focused on cancer and tissue biology, and I am now expanding to other areas such as cognitive health. I have developed and maintain several open source packages for simulation investigations of these dynamical multiscale systems, and I also lead an international group in creating a data standard / data model for these problems.
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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