Affiliated Faculty

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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| A - E | F - J | K - O | P - T | U - Z |


A - E
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.
Escanciano, Juan Carlos Economics, College of Arts and Sciences / IUB
Bio: Dr. Juan Carlos Escanciano is originally from Madrid, Spain. He attended Universidad Complutense de Madrid, where he received a B.S. in math, and University Carlos III de Madrid where he received a Ph.D. in Economics in 2004. Following two years on the faculty of the Universidad de Navarra, in Pamplona, Spain, Dr. Escanciano came to Indiana University in 2006 as an Assistant Professor of Economics. His research interests fall broadly into the area of econometric theory and applications, with a recent emphasis on identification of flexible econometric models.
F - J
Harezlak, Jaroslaw Epidemiology and Biostatistics, School of Public Health-Bloomington / IUB
Bio: Dr. Harezlak is an Associate Professor interested in brain connectivity. He has been working with groups both at IU and at other US institutions on statistical models to incorporate both structural and functional connectivity in regularized regression models.
K - O
Menczer, Filippo Informatics and Computer Science, School of Informatics and Computing / IUB
Bio: Filippo Menczer is a Professor of informatics and computer science, adjunct Professor of physics, and a member of the cognitive science program at Indiana University, Bloomington. He holds a Laurea in Physics from the University of Rome and a Ph.D. in Computer Science and Cognitive Science from the University of California, San Diego. Dr. Menczer has been the recipient of Fulbright, Rotary Foundation, and NATO fellowships, and a Career Award from the National Science Foundation. He currently serves as director of the Center for Complex Networks and Systems Research and is a Fellow of the Institute for Scientific Interchange Foundation in Torino, Italy, a Senior Research Fellow of The Kinsey Institute, and an ACM Distinguished Scientist. He previously served as division chair in the IUB School of Informatics and Computing, and was Fellow-at-large of the Santa Fe Institute. His research is supported by the NSF, DARPA, and the McDonnell Foundation. It focuses on Web science, social networks, social media, social computation, Web mining, distributed and intelligent Web applications, and modeling of complex information networks.
Disciplines: Computer Science
Ning, Xia Department of Computer & Information Science, School of Science / IUPUI
Bio: Dr. Ning is working on Data Mining, Machine Learning and Big Data Analytics and their applications in e-Commerce and Recommender Systems, where she develops personalized and scalable methods and software tools to discover knowledge regarding users' personal preferences, intentions and behavior patterns, etc, from their purchases activities, social networks, click traces, online reviews, etc, and correspondingly produce personalized recommendations. She is also involved in research on drug discovery and bioinformatics, where she develops effective data mining and machine learning methodologies to facilitate rapid and targeted exploration over chemical and biological spaces, and computational methods for various Chemoinformatics and Bioinformatics problems. She is also active in complex systems research, where she develop Big Data Analytics methods to help understand system behaviors, detect anomalies from large and heterogeneous systems, and identify security related issues, etc.
P - T
Raymond, Angie Business Law and Ethics, Kelley School of Business / IUB
Bio: I am currently working on understanding how to use social and digital networks to lessen the impact of false or biased communication and reputation responses in an online justice system.
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.
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/.
U - Z
Yan, Xiaoran IU Network Science Institute / IUB
Bio: Xiaoran Yan is an Assistant Research Scientist at Indiana University Network Science Institute. His research concerns mathematical theories and models of networks, with a focus on community structures and dynamical processes on networks. Through cross-disciplinary collaborations, his work is being applied to diverse areas including social networks, neuroimaging and science of science studies. He worked as a Postdoctoral Research Associate at Information Sciences Institute of University of Southern California. Before that, he was a graduate fellow at Santa Fe Institute. He received a Ph.D. in Computer Science at University of New Mexico.
Disciplines: Computer science