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Media Contacts
![As the leader of ORNL’s Biodiversity and Ecosystem Health Group, environmental scientist Teresa Mathews works to understand the impacts of energy generation on water and solve challenging problems, including mercury pollution. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-08/2021-P05311%5B10%5D%5B13%5D_0.jpg?h=f99713cc&itok=zd0wGqpx)
Moving to landlocked Tennessee isn’t an obvious choice for most scientists with new doctorate degrees in coastal oceanography.
![Deborah Frincke, one of the nation’s preeminent computer scientists and cybersecurity experts, serves as associate laboratory director of ORNL’s National Security Science Directorate. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-05/Deborah%20Frincke%20profile_0.jpg?h=8caed45b&itok=0eTC4gMH)
Deborah Frincke, one of the nation’s preeminent computer scientists and cybersecurity experts, serves as associate laboratory director of ORNL’s National Security Science Directorate. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy
![Belinda Akpa applies her diverse expertise and high-performance computing to accelerate the drug discovery process and increase the chances of success when candidate molecules go to clinical trials. Credit: Carlos Jones/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-04/2021-P02772_1.jpg?h=0a8b6f8b&itok=seLu5znj)
Belinda Akpa is a chemical engineer with a talent for tackling big challenges and fostering inclusivity and diversity in the next generation of scientists.
![Rich Giannone uses bioanalytical mass spectrometry to examine proteins, the primary driver in biological systems.](/sites/default/files/styles/list_page_thumbnail/public/2021-04/2021-P02194_small.jpg?h=c6980913&itok=bc6MRBX6)
Rich Giannone uses bioanalytical mass spectrometry to examine proteins, the primary driver in biological systems.
![An X-ray CT image of a 3D-printed metal turbine blade was reconstructed using ORNL’s neural network and advanced algorithms. Credit: Amir Ziabari/ORNL, U.S. Dept. of Energy](/sites/default/files/styles/list_page_thumbnail/public/2021-01/Manufacturing%20-%20Defect%20detection%202_0.jpg?h=259e5a75&itok=CwpLQv6U)
Algorithms developed at Oak Ridge National Laboratory can greatly enhance X-ray computed tomography images of 3D-printed metal parts, resulting in more accurate, faster scans.