September 2014
Dynamically Optimizing Research Data Workflow
Yale was recently awarded an NSF grant to design and deploy a novel intelligent network cyberinfrastructure that will greatly expand the ability of researchers to rapidly and efficiently move the large quantities of data required for their computation- and data-intensive research activities both on- and off-campus. Led by Professor Richard Yang, the project is a joint effort of faculty and staff from the Department of Computer Science, Yale’s High Performance Computing Center, and ITS.
The statistics of frictional families
Comparative analysis of the transcriptome across distant species
Constraints and vibrations in static packings of ellipsoidal particles
Isostaticity at Frictional Jamming
Hypocoordinated solids in particulate media
Careers
The Yale Center for Research Computing brings together innovative minds across a variety of disciplines, including the basic sciences, computational sciences, data sciences, engineering, and much more.
Predicting how macroscale particles self-assemble
Prof. Corey S. O’Hern’s research group employs computational techniques to study soft materials, biological systems, and particulate media. Along with co-PIs Prof. Bulbul Chakraborty from Brandeis University and Robert Berhinger from Duke University, Prof. O’Hern was recently awarded a prestigious $1 million grant from the W.M. Keck Foundation to develop the first comprehensive theoretical framework for predicting how macroscale particles assemble into large collections.
Developing lung cancer prevention strategies
Professor Theodore Holford’s research team is examining smoking behavior with the goal of developing lung cancer prevention strategies. The team is using data from the National Health Interview Surveys, conducted between 1965 and 2012, to construct a model that describes smoking histories of initiation, cessation, and mortality for those born since 1890.