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Penn Helps Develop Algorithm Aimed at Combating Science’s Reproducibility Problem

Penn Helps Develop Algorithm Aimed at Combating Science’s Reproducibility Problem

Big data sets are important tools of modern science. Mining for correlations between millions of pieces of information can reveal vital relationships or predict future outcomes, such as risk factors for a disease or structures of new chemical compounds.  

Evan Lerner

Recent Penn Alum Finds His Calling to Help Others

Recent Penn Alum Finds His Calling to Help Others

What began as preparations for a class service trip to China has turned into a possible career path for Nikhil Rajapuram, a May graduate of the University of Pennsylvania.

Jeanne Leong

Penn Researchers Discover New Chiral Property of Silicon, With Photonic Applications

Penn Researchers Discover New Chiral Property of Silicon, With Photonic Applications

By encoding information in photons via their spin, “photonic” computers could be orders of magnitude faster and efficient than their current-day counterparts. Likewise, encoding information in the spin of electrons, rather than just their quantity, could make “spintronic” computers with similar advantages.   

Evan Lerner

Researchers at Penn Develop Scar-like Culture Systems to Understand and Treat Fibrosis

Researchers at Penn Develop Scar-like Culture Systems to Understand and Treat Fibrosis

A scar might be a reminder of an accident or surgery, but the fibrous tissue that makes up a scar also forms after a heart attack and arises in solid tumors as well as in chronic diseases such as liver cirrhosis and muscular dystrophy. Implanted medical devices and materials are similarly surrounded by fibrous capsules that impede their function.  

Evan Lerner

Penn Science Café Presents ‘Your Brain: An Ever-changing Network’

Penn Science Café Presents ‘Your Brain: An Ever-changing Network’

WHO:     Danielle BassettSkirkanich Assistant Professor of InnovationDepartment of BioengineeringDepartment of Electrical and Systems EngineeringSchool of Engineering and Applied Science

Evan Lerner , Gina Bryan