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

Notre Dame launches “Consider This!” a weekly webinar series discussing COVID-19

Notre Dame launches “Consider This!” a weekly webinar series discussing COVID-19

Author: Brandi Wampler

Starting in October, each Monday from 6 to 7 p.m. EST, coronavirus experts will discuss a new aspect or angle of the pandemic, such as epidemiology, food security, public health, racial inequities, testing, vaccines, and evidence used to inform decisions about opening schools, athletics, and businesses. 

Read More about Notre Dame launches “Consider This!” a weekly webinar series discussing COVID-19

Events

Numbers Can Lie: When algorithms work perfectly but fail miserably

-


Location: Online

The famous saying, “numbers don’t lie,” might work when reporting the score of a football game, but even then, the numbers don’t tell the whole story. 

Algorithms developed by data scientists have implications for not only who may obtain a fair loan, but with who stays in prison and who’s released, and who will be favored by machine learning “decisions.” With so many parts of our lives decided by Big Data, how do scientists balance the algorithms and the ethics?…

Read More about Numbers Can Lie: When algorithms work perfectly but fail miserably