Researchers at UW–Madison Lead Data Science Coalition to Aid with COVID-19
WID’s Data Science Hub is part of the COVID-19 Data Science Research Group that is interpreting data, using that data to create models, and sharing information and findings.
Tag: big data
Big data refers to a collection of data sets so large and complex that that they are difficult to process using available database management tools or traditional data processing applications. WID researchers are making transformative contributions to the mathematical and theoretical underpinnings of tools for analyzing massive data sets.
Big data is an important component of WID’s Data Science Hub.
Power Tools: New Math Model Optimizes Energy
Discovery Fellow Jim Luedtke, a professor of industrial and systems engineering at the University of Wisconsin-Madison, specializes in stochastic and integer optimization, a natural fit for power systems.
Laura Knoll
Professor
Molecular analysis of the developmental regulation and virulence of protozoan parasites
Data Scientists Unite Research and Policy in New Project
A new data science project, “WEREWOLF”, puts powerful modeling tools into the hands of Wisconsin policymakers to create the energy systems of tomorrow.
Kushin Mukherjee
Modeling how we learn and represent visual concepts and use them to perform visual tasks
New Faculty Bring New Possibilities to WID, UW
Claudia Solís-Lemus and Daniel Pimentel-Alarcón are experts in statistics and machine learning, augmenting WID’s data science expertise.
Electronic Records Pin Broad Set of Health Risks on Genetic Premutation
WID graduate student Arezoo Movaghar was a collaborator in a study that employed machine learning to mine decades of electronic health records of nearly 20,000 individuals.
Claudia Solís-Lemus
Assistant Professor
My research involves the development of statistical models to answer biological questions.
Lessons of Conventional Imaging Let Scientists See Around Corners
Discover Fellow Andreas Velten and collaborators, drawing on the lessons of classical optics, have shown that it is possible to image complex hidden scenes using a projected “virtual camera” to see around barriers.
WID Researchers Collaborate on UW2020 Projects
Researchers at the Wisconsin Institute for Discovery are co-Principal Investigators and co-Investigators on four UW2020: WARF Discovery Initiative projects.
Uncovering a Connection Between Regulators and Genes During Early Neurodevelopment
WID researchers used a collaborative combination of computational and wet lab experimental techniques to find a connection between a transcription factor and a neurodevelopment gene.
Ryan Herringa
Associate Professor
Neurodevelopmental mechanisms of stress and mental illness in youth
Jon Eckhardt
Associate Professor
Entrepreneurship, including firm formation, venture finance, and university driven entrepreneurship
WID Seeks Machine Learning and “Fluxomics” Hires
WID seeks to add to its roster of excellent faculty with two new hires in emerging cutting-edge fields.
WID Hubs Launch at Illuminating Connections Event
WID’s new hubs—Data Science, Multi-Omics, and Illuminating Discovery—represent a new path forward for collaborative research projects and fields.
Tour WID’s New ‘Hubs’ Designed to Spur Campus Collaborations Dec. 12
The Wisconsin Institute for Discovery will launch a suite of hubs designed to bring together researchers from across campus and provide access to specialized tools and resources.
New Technology for Controlling Neural Tissue Manufacturing
A paper published in eLife this week by an interdisciplinary team at WID describes new methods for reproducibly manufacturing brain and spinal cord organoids with strict control over morphogenic and developmental processes.
WID Researchers Showcase “Virtual Dairy Farm Brain” at American Dairy Science Association Meeting
By combining information from many farms, predictive models and analytic tools can be developed to help producers and consultants navigate, visualize. and analyze the data they are getting from an increasing number of sources to support better management decisions.