Biophysics, literally the physics of life, enables scientists working at the intersection of physics, biology and chemistry to collaborate with clinicians, mathematicians and engineers to develop a predictive understanding of biological processes, including cancer, development, infection and the immune system.  Novel tools and techniques now permit biophysicists to see and measure what was once invisible. Physics has long played a prominent role in biology – Watson, Crick and Franklin, discoverers of the structure of DNA, considered themselves biophysicists – but that role has increased dramatically in recent years as the development of new methods has transformed our understanding of biological systems, their complexity and their molecular details.

The University of Notre Dame has a rich history of molecular biophysics research across disciplines. The recent establishment of the new Stavropoulos Center for Interdisciplinary Biophysics will strengthen these efforts across campus, attracting elite research talent at all levels of career development.

 

News

Best Imaging Publication Award Nominations now open to Notre Dame Researchers

Best Imaging Publication Award Nominations now open to Notre Dame Researchers

Notre Dame researchers, including students and faculty members, are invited to nominate a fellow colleague to receive a Best Imaging Publication award. The recognition is offered by the Notre Dame Integrated Imaging Facility (NDIIF) to recognize those who utilize NDIIF equipment

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University of Notre Dame establishes new research center for delivering data-driven, predictive computational models

University of Notre Dame establishes new research center for delivering data-driven, predictive computational models

Dramatic advances in data sciences, machine learning, and scientific computing, as well as the growing ability to collect scientific data, has led to a need for improved predictive modeling and design of complex systems. In order to better characterize the predictability of computational models and product performance, a new research center at the University of Notre Dame, the Center for Informatics and Computational Science (CICS), will develop mathematical, statistical, and scientific computing techniques to address the challenges associated with uncertainty quantification.

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Events

ACMS Applied Math Seminar: Kresimir Josic

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Location: 154 Hurley Hall

Kresimir Josic
University of Houston
 

3:30 PM
154 Hurley Hall

Spatio-temporal Dynamics of Synthetic Microbial Consortia

Modeling is essential in the design of genetic circuits with desired properties. I will review several examples where mathematical models have been central to the development and understanding of the dynamic of synthetic organisms. I will focus on synthetic bacterial microconsortia that exhibits emergent oscillatory behavior – when co-cultured, the interaction between two bacterial strains results in population-level transcriptional oscillations. The spatio-temporal dynamics of such consortia, including synchrony between distant parts of the population, depend sensitively on the architecture of the underlying genetic circuits. I will show how simplified mathematical models can help us understand how robust oscillations arise, and how spatially synchronous oscillations are maintained.…

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IDEA Week: Graduate Shaheen Three Minute Thesis (3MT)

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Location: Mendoza College of Business

The 3MT ® competition empowers graduate students spread throughout the University of Notre Dame to explain how their research matters. In three minutes, both the breadth and significance of the research are covered in a way that both specialists and non-specialists can understand. Graduate student participants will sharpen their professional development skills, reignite their passion for discovery, promote preeminent research, and increase their sense of community within the grad school. …

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ACMS Statistics Seminar: Ryan Cho

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Location: 154 Hurley Hall

Ryan Cho
University of Iowa

3:30 PM
154 Hurley Hall

Statistical Methods With Varying Coefficient Models in Longitudinal Studies

Varying coefficient models play important roles in exploring the dynamic pattern of the association between the independent and dependent variables in many scientific areas. As an example, subjects are monitored over a period of time in longitudinal studies and their repeated measurements of the independent and dependent variables may change over time. To the end, time-varying coefficient models in which coefficients are smooth regression functions of time are natural extensions of varying coefficient models. Upon the aim of longitudinal studies, the functional coefficients can be functions of other variables instead of the time variable. The primary purpose of this talk is two-fold: 1) to introduce interesting scientific questions that arise in longitudinal studies and 2) to propose new statistical methods with different varying coefficient models that address the scientific questions.…

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