Vladimir Braverman received a Best Paper Award at FAST ’19

/ February 28, 2019

Load balancing is critical for distributed storage to meet strict service-level objectives (SLOs). It has been shown that a fast cache can guarantee load balancing for a clustered storage system. However, when the system scales out to multiple clusters, the fast cache itself would become the bottleneck. Traditional mechanisms like cache

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Carey Priebe’s paper “On a `Two Truths’ Phenomenon in Spectral Graph Clustering” has been accepted for publication at PNAS

/ February 11, 2019

Clustering is concerned with coherently grouping observations without any explicit concept of true groupings. Spectral graph clustering – clustering the vertices of a graph based on their spectral embedding – is commonly approached via K-means (or, more generally, Gaussian mixture model) clustering composed with either Laplacian or Adjacency spectral embedding (LSE

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QnAs with Donald Geman

/ May 8, 2018

With the proliferation of “omics” technologies, personalized medicine—which tailors treatment to an individual’s genomic profile—promised a revolution in care. That revolution, says applied mathematician Donald Geman, has been slow to arrive. Geman has spent nearly four decades devising statistical methods for a variety of applications. He recently teamed up with an

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Suchi Saria selected as Alfred P. Sloan Research Fellow

/ February 23, 2018

Suchi Saria, a member of the MINDS faculty, was recently selected as a 2018 Alfred P. Sloan Research Fellow in Computer Science. Saria is an assistant professor in the Department of Computer Science and also a member of the Malone Center for Engineering in Healthcare. The Alfred P. Sloan Foundation awards 126 fellowships each

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Johns Hopkins-led team aims to turn computer systems into digital detectives

/ October 31, 2017

Imagine an embassy bombing. Consider the massive amount and varied types of data that investigators need to review to determine who carried out the attack and how it was accomplished. Such a probe could involve the slow, painstaking examinations of video footage, photos, internet communications, telephone records, and other material. An

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Faculty position in data intensive biomedical science announced

/ October 25, 2017

The Department of Biomedical Engineering at Johns Hopkins University invites applications for a tenure-track faculty position in data intensive biomedical science. Outstanding candidates at all academic ranks will be considered. The successful candidate is expected to perform fundamental research in statistical and/or mathematical modeling, analysis, and interpretation of high-dimensional biomedical data. Research

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