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Angela Violi

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Angela Violi is a Professor in the Department of Mechanical Engineering, and adjunct faculty in Chemical Engineering, Biophysics, Macromolecular Science and Engineering, and Applied Physics. The research in the group of Violi is focused on the application of statistical mechanics and computational methods to chemically and physically oriented problems in nanomaterials and biology. The group investigates the formation mechanisms of nanomaterials for various applications, including energy and biomedical systems, and the dynamics of biological systems and their interactions with nanomaterials.

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Michal Zochowski

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Michal Zochowski is a Professor in the Departments of Physics and Biophysics Program. His research interests lie in the intersection of physics and neuroscience. His group focuses on understanding the mechanisms of the formation of spatio-temporal patterns in coupled dynamical systems, their applicability and role during information processing in the brain. They use theoretical and experimental approaches, including computational modeling of various brain processes including memory storage, consolidation and its retrieval.

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Marisa Eisenberg

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Marisa Eisenberg is an assistant professor in the Department of Epidemiology, and in the Department of Mathematics. Her research revolves around mathematical epidemiology, focus on using and developing parameter estimation and identifiability techniques to model disease dynamics. Her group builds multi-scale models of infectious disease, including HPV, cholera and other environmentally driven diseases.

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Likelihood surface exhibiting issues of unidentifiability—colors indicate goodness-of-fit, and the white line shows the values taken by an optimization algorithm as it navigates the surface.

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Silas Alben

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Silas Alben is an Associate Professor in the Department of Mathematics, and the Director of the Applied & Interdisciplinary Mathematics program. He uses theoretical analysis, and develops numerical methods and models of problems arising from biology, especially biomechanics and engineering. Some of his group’s current applications are piezoelectric flags, flag fluttering in inviscid channel flow, snake locomotion and jet-propelled swimming.

Equilibrium configurations of actuated bilayers with general initial shapes. S. Alben, Adv. Comp. Math., 2014

Equilibrium configurations of actuated bilayers with general initial shapes. S. Alben, Adv. Comp. Math., 2014

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George Alter

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George Alter is Research Professor at ICPSR and the Population Studies Center and Professor of History at the University of Michigan. His research grows out of interests in the history of the family, demography, and economic history, and recent projects have examined the effects of early life conditions on health in old age and new ways of describing fertility transitions. He is also involved in international efforts to promote research transparency and data sharing.
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Victoria Booth

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Victoria Booth is an Associate Professor in the Department of Mathematics and the Department of Anesthesiology. Her interdisciplinary research in mathematical and computational neurosciences focuses on constructing and analyzing biophysical models of neurons and neural networks in order to quantitatively probe experimental hypothesis and provide experimentally-testable predictions. Her research provides continuous reciprocal interactions between modeling and experimental results.

Prof. Booth and her colleagues are constructing neurophysiologically based models of the neuronal networks and neurotransmitter interactions in the brainstem and the hypothalamus that regulate wake and sleep states. She is also addressing the question of the influence of intrinsic neuron properties and network topology on the generation of spatio-temporal activity patterns in large-scale neural networks.

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Brian Denton

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Brian Denton is a Professor in the Department of Industrial & Operations Engineering, and a member of the Institute for Healthcare Policy and Innovation. His primary research interests are in optimization under uncertainty with applications to medical decision-making. He uses stochastic programming, simulation-optimization and Markov decision processes to optimize decisions regarding detection, treatment, and prevention of chronic diseases, including cancer, diabetes and heart disease.

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Rafael Meza

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Rafael Meza is an Assistant Professor in the Department of Epidemiology, School of Public Health, and an Honorary Professor at the Mexico National Institute of Public Health (INSP). Dr. Meza’s is interested in cancer risk assessment and the analysis of cancer epidemiology data using mechanistic models of carcinogenesis. He is also interested in the mathematical modeling of chronic and infectious disease dynamics and its applications in public health policy design.

Dr. Meza is Coordinating Principal Investigator of the Cancer Intervention and Surveillance Modeling Network (CISNET) lung group, core member of the Cancer Prevention and Control Program at the University of Michigan Comprehensive Cancer Center (UMCCC), and member of the UM Tobacco Research Network.

Currently, Dr. Meza is developing models to evaluate the impact of screening and smoking cessation on lung cancer risk. Additional projects include the development of methodologies to investigate the effects of infectious disease dynamics on the risk of cancers with infectious disease etiology, modeling the impact of policies on cigarette and smokeless tobacco use, and modeling the impact of diabetes prevention strategies in Mexico.

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Smoking prevalence

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Jihyoun Jeon

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Jihyoun Jeon is an Assistant Research Scientist in the Department of Epidemiology, in the School of Public Health. She is also a member of the University of Michigan Comprehensive Cancer Center (UMCCC), and an affiliate at the Fred Hutchinson Cancer Research Center (FHCRC). Her research interests focus on developing biologically based mathematical models and statistical methods to evaluate the impact of risk factors on various cancers, and the efficacy of screening to reduce cancer incidence and/or mortality. The goal of these modeling efforts is to better understand the underlying mechanism of the natural history of cancer, develop innovative methodologies to solve important public health questions, and assist public health policy makers in their decision process.

She is a core member of large multidisciplinary national consortia: the Lung Cancer group of the NCI consortium ‘Cancer Intervention and Surveillance Modeling Network (CISNET)’, Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO), and Colorectal Transdisciplinary (CORECT) Study in the Genetic Associations and Mechanisms in Oncology (GAME-ON). She is particularly interested in developing mathematical models and simulation tools to investigate the synergistic impacts of tobacco control policies and CT screening on lung cancer risk in the US and in some middle-income countries. And she is also interested in developing risk prediction models for colorectal cancer that incorporate genetic variants identified form GWAS study along with environmental risk factors and modifiable lifestyle factors in population based and prospective studies. These models would provide a more accurate risk stratification of individuals, which would be useful to suggest individually tailored health strategies given the person’s risk profile in terms of genetic variants as well as lifestyle and environmental risk factors collectively.

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Denise Kirschner

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Denise Kirschner is a Professor in the Department of Microbiology and Immunology.  She serves as founding co-director of the Center for Systems Biology, is affiliated with both the Center for the Study of Complex Systems and  the Center for Computational Medicine and Bioinformatics. Her research involves the modeling of immunological responses in infectious diseases, focusing on questions related to host-pathogen interactions. The pathogens she studies include both bacteria (Mycobacterium tuberculosis) and HIV-1. Such pathogens have evolved strategies to evade or circumvent the host-immune response and the lab’s goal is to understand the complex dynamics involved and develop optimal treatment and vaccine strategies.