NCI Grant for Personalized Cancer Diagnostics and Prognostics to Alter and Team
Orly Alter has been awarded a five-year, three million-dollar National Cancer Institute (NCI) grant for the project "Multi-Tensor Decompositions for Personalized Cancer Diagnostics and Prognostics." Co-investigators on her team include pathology professors Cheryl A. Palmer and Carl T. Wittwer, associate professor Elke A. Jarboe, and clinical assistant professor Reha M. Toydemir, and neurosurgery professor Randy L. Jensen.
Alter, a bioengineering associate professor and a faculty member of the Scientific Computing and Imaging Institute, pioneered the matrix and tensor modeling of large-scale molecular biological data, which have been demonstrated to correctly predict previously unknown cellular mechanisms.
3-D map of the brain: Utah researchers develop software to better understand brain’s network of neurons
Oct. 22, 2015
The animal brain is so complex, it would take a supercomputer and vast amounts of data to create a detailed 3-D model of the billions of neurons that power it.
But computer scientists and a professor of ophthalmology at the University of Utah have developed software that maps out a monkey's brain and more easily creates a 3-D model, providing a more complete picture of how the brain is wired. Their process was announced this week at Neuroscience 2015, the annual Society for Neuroscience meeting in Chicago.
August 27, 2015 - Scott Gibson, Communications Specialist, University of Tennessee
More elegant techniques combined with highly interdisciplinary, multi-scale collaboration are essential for dealing with massive amounts of information, plenary speaker says at the XSEDE15 conference.
A curse of dealing with mounds of data so massive that they require special tools, said computer scientist Valerio Pascucci, is if you look for something, you will probably find it, thus injecting bias into the analysis. XSEDE15 pascucci-sg
In his plenary talk titled "Extreme Data Management Analysis and Visualization: Exploring Large Data for Science Discovery" on July 28 during the XSEDE15 conference in St. Louis, Dr. Pascucci said that getting clean, guaranteed, unbiased results in data analyses requires highly interdisciplinary, multi-scale collaboration and techniques that unify the math and computer science behind the applications used in physics, biology, and medicine.
SCI Institute welcomes two new Professors in Computer Science and Mathematics
Dr. Alexander Lex, School of Computing
Dr. Lex received his Bachelor's, Master's, and PhD degrees from the Graz University of Technology. For the past three years he was a Postdoctoral Fellow and Lecturer at the Harvard School of Engineering and Applied Sciences. In 2011 he completed a research internship at the Computational Genomics Lab at the Harvard Medical School.
He develops interactive data analysis methods for experts and scientists. His primary research interest is interactive data visualization and analysis, especially applied to molecular biology and pharmacology. His research is driven by the observation that there are many data analysis challenges that require human reasoning and cannot be solved automatically. He is also interested in Human Computer Interaction and Bioinformatics.
Utah team turns to computing to design clean oxy-coal boiler
Coal produces 39 percent of America's electricity, the U.S. Energy Information Administration reports. It's everywhere, and the United States can reliably buy it from other countries if needed. Because of its contribution to smog and global warming, coal has its detractors. But it also remains the largest share of our energy mix – natural gas is a distant second, at 29 percent – so numerous programs are researching technology to clean it up.
A glimpse inside a coal-fired boiler. Click image to enlarge and for more information.
Recently, the term big data has become ubiquitous. People who can wrangle big data are called data scientists. According to a number of sources, there is a growing need for people trained as data scientists. But what is data science? Is data science its own field or is it an interdisciplinary mix of computer science, mathematics and statistics, and domain knowledge, or perhaps is it really what statisticians have been doing all along? Since data science at scale involves large-scale computation, what is the relation between data science and computational science in research and education?
New Method Increases Accuracy of Ovarian Cancer Prognosis and Diagnosis
Mathematical Technique Reveals Predictive DNA Patterns That Other Methods Missed
Nearly anyone touched by ovarian cancer will tell you: it's devastating. It's bad enough that cancer in almost 80 percent of patients reaches advanced stages before diagnosis, and that most patients are expected to die within five years. But just as painfully, roughly one quarter of women diagnosed have no warning that they are resistant to platinum-based chemotherapy, the main line of defense, nor that they will likely have 18 months to live.
The SIAM CSE15 Co-Chairs: Hans De Sterck (University of Waterloo), Chris Johnson (University of Utah), and Lois Curfman McInnes (Argonne National Laboratory) are happy to report the conclusion of a successful SIAM Computational Science and Engineering (CSE) 2015 Conference.
We were happy to see many of you at the 2015 SIAM Conference on CSE which took place in Salt Lake City during the past week. With 1,700 registered participants, the conference set a new attendance record for a SIAM conference.
There were 9 invited talks, 300 minisymposium sessions, 6 featured minisymposia, 100 contributed presentations, 4 panel discussions, two minitutorials, and 300 posters.