Topher joins network of data scientists to develop computational models
Dr. Topher Weiss-Lehman joins a team of data scientists from the University of Wyoming, the University of Montana and the University of Nevada-Reno to test and build highly predictive computational models for the life sciences.
Dramatic increases in the scale and availability of data are profoundly reshaping the life sciences. As a result, data acquisition and availability -- from DNA sequencers to environmental sensors to parallel global studies -- are outpacing the capacity for analysis, including the development of models that represent knowledge of biological processes.
Thanks to a $6 million National Science Foundation (NSF) grant, researchers from the University of Wyoming, the University of Montana and the University of Nevada-Reno will be able to address pressing needs in the life sciences through research and education by this consortium. The title of the project is “Highly Predictive, Explanatory Models to Harness the Life Science Data Revolution.”
The center, established in September 2018, is designed to help educate and provide tools for analysis for undergraduate students up through faculty, and create unprecedented opportunities for researchers to engage in the cutting edge of data science.
The four-year NSF grant will start Sept. 1 and run through Aug. 31, 2024. The grant builds on previous NSF, private donor and state investments in data science at UW, Buerkle says.
This consortium was awarded $6 million from the NSF. The title of the project is “Highly Predictive, Explanatory Models to Harness the Life Science Data Revolution” and will start Sept. 1 and run through Aug. 31, 2024.
“In our research, we will develop knowledge of these trade-offs and methods that combine advantageous features of different types of models.”
