Spotlights
Phillips 66 continues support of Cornell Engineering initiatives
The initiatives include engineering curriculum, diversity programs, students teams and undergraduate research.
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Science Blender Podcast
We hear about scientific advancements all the time, but science is a process driven by people, and we rarely hear about the stories behind these discoveries. Science Blender brings you those stories.
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Listen in on X-ray laser science
Lois Pollack, director of applied and engineering physics, talks to Stereo Chemistry about conducting research at the European X-ray Free-Electron Laser facility, the world's biggest and brightest X-ray source.
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Research Strategic Area - Bioengineering
Discovering new methods of mimicking and manipulating biological systems, both for medical and non-medical purposes.
We're different.
Cornell Engineering has always defined diversity broadly, incorporating varying geographic, intellectual, ethnic, cultural, academic, and social elements that make our world a more vibrant place. The college’s commitment to a global view of diversity is an important element in ensuring that our teaching remains connected to real-world problems, our research remains relevant and cutting-edge, and our social composition includes a variety of voices, thoughts, ideas, and opinions.
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Breaking the Rules to Advance Science and Improve Lives
Discovery stretches across disciplines to find surprising answers to complex and challenging problems in such fields as nanoscience, biomedical engineering, molecular and cellular biology, advanced materials, and information science. Come find out for yourself!
The Latest News, Events and Stories Around Campus
Cornell faculty, leadership begin to tackle grand challenges
Global Grand Challenges Symposium brought together faculty, administrators and guests to discuss challenges on which Cornell should place emphasis and resources in 2019-2020.
Read more about Cornell faculty, leadership begin to tackle grand challengesORIE Colloquium: Po-Ling Loh (UW Madison) - Statistical inference for infectious disease modeling
Statistical inference for infectious disease modeling We discuss two recent results concerning disease modeling on networks. The infection is assumed to spread via contagion (e.g., transmission over...
Read more about ORIE Colloquium: Po-Ling Loh (UW Madison) - Statistical inference for infectious disease modeling
Phillips 66 continues support of Cornell Engineering initiatives
The initiatives include engineering curriculum, diversity programs, students teams and undergraduate research.
Read more about Phillips 66 continues support of Cornell Engineering initiatives