Charles Vest Fellowship for work applying machine learning to biomedical imaging data
Many congratulations to Jure Sokolic, a PhD student supervised by Dr Miguel Rodrigues, who has recently been awarded a prestigious Charles Vest Scholarship which addresses US National Academy of Engineering (NAE) Grand Challenges for Engineering, for his project to explore theoretical and practical aspects of the machine learning method named Deep Learning (DL) and its applications to biomedical imaging data of various modalities. He will be working at the Pratt School of Engineering, Duke University, NC, under the supervision of Professors Robert Calderbank and Guillermo Sapiro. His project is listed under The Grand Challenge of engineering new tools for scientific discovery, which encompasses efforts ranging from developing the next generation of quantum computers to devising new ways to analyze and extract useful information from massive datasets generated by new technologies.
The Charles M. Vest NAE Grand Challenges for Engineering International Scholarship Program offers an opportunity for international graduate students to work and study at one of nine US universities performing leading research in one or more of the areas described in the US National Academy of Engineering (NAE) Grand Challenges for Engineering.
The NAE Grand Challenges for Engineering are 14 ways engineering can change the world for the better in the 21st century—from making solar energy economical to providing access to clean water. The challenges were proposed in 2008 by an international group of leading technological thinkers, from human genome pioneer J. Craig Venter to Google co-founder Larry Page, as a panel convened by the US National Academy of Engineering.
The goals of the Vest Scholarships are to provide a platform to exchange ideas, share problem-solving skills and strengthen international relationships in order to advance progress in some of the most critical global challenges in the twenty-first century.