Award

BMI student and faculty share in computer security award

Privacy in Pharmacogenetics: An End-to-End Case Study of Personalized Warfarin Dosing

BMI Student Eric Lantz, his advisor Professor David Page, and their colleagues Matthew Fredrikson, Somesh Jha, Simon Lin, and Thomas Ristenpart have won the best paper award at USENIX Security, a major computer security conference held August 20th - 22nd, 2014, in San Diego. The paper, “Privacy in Pharmacogenetics: An End-to-End Case Study of Personalized Warfarin Dosing,” Fredrikson, Jha and Ristenpart are in Computer Sciences. Lin is at Nationwide Children's Hospital in Columbus, Ohio.

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Jie Liu receives the AMA's Marco Ramoni Prize

Jie Liu has received the American Medical Informatics Association's Marco Ramoni Prize for the paper, New Genetic Variants Improve Personalized Breast Cancer Diagnosis. .Jie is a PhD candidate (CS) working with BMI faculty members Elizabeth Burnside and David Page, as well as with other collaborators from Marshfield Clinic, UW-Madison, and Essentia Institute of Rural Health. Peissig is a recent graduate of the ICTR-based Graduate Program in Clinical Investigation.

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Assistant Professor Sushmita Roy has been chosen as a 2014 Sloan Research Fellow

Network describing host response to influenza infection

Assistant Professor Sushmita Roy has been chosen as a 2014 Sloan Research Fellow for her work in Computational & Evolutionary Molecular Biology. She is one of 126 outstanding U.S. and Canadian researchers to receive this honor this year. From the press release: "Awarded annually since 1955, the fellowships are given to early-career scientists and scholars whose achievements and potential identify them as rising stars, the next generation of scientific leaders."

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Congratulations to Assistant Professor Vikas Singh for his receipt of a new NSF CAREER Award.

3-D shape descriptors derived from a spectral graph wavelet transform

Congratulations to Assistant Professor Vikas Singh for his receipt of a new NSF CAREER Award. The award is a strong recognition of Vikas' accomplishments as an expert in medical image analysis. His project will develop new computer vision methods for representation and analysis of structural and functional neuroimaging data for identifying weak group level differences in the small sample size regime. Potential applications include early diagnosis of neurological disorders as well as evaluating effects of novel interventional procedures.

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