UW program powers New Yorker contest featuring Rob Nowak and NEXT software
Systems Biology researcher Sushmita Roy is leading an effort putting computational methods to work characterizing the gene regulatory networks responsible for cell differentiation.
WID Optimization researchers have partnered with faculty across campus to work on ways to use computers to make better use of human brain power.
Systems Biology researchers Deborah Chasman and Sushmita Roy are using machine learning to identify virus and pathogenicity-specific regulatory networks which may guide the design of effective therapeutics for infectious diseases. The work is described in a recent paper in PLOS Computational Biology.
The big data phenomenon also begun to take hold in and around the city, from institutions like state and city government to the health care industry.
Discovery fellows Rebecca Willett and Rob Nowak are creating algorithms to make sense of big data and help machines learn.
The magazine is using crowdsourcing algorithms developed by WID researchers to find the funniest cartoon captions
The New Yorker is using a machine learning system developed by WID Optimization researchers to sort through captions for their weekly cartoon caption contest.
With the aid of entrepreneur Joe Sheahan ’04, Discovery Fellow Rob Nowak, ’90, MS’91, PhD’95 and Kevin Jamieson, PhD ’15 poured their thought experiment into the iPhone marketplace.
David Page tackles relational databases and algorithms to predict and improve patient health.
Discovery Fellow Rebecca Willett co-organizes first ever UW-Madison Neuroimaging, Computational Neuroscience, and Neuroengineering Workshop
How can researchers extract useful information from patient data to develop life-saving treatments while making sure records stay private and protected? A WID collaboration looks for an answer.
WID researchers develop algorithms for many applications and industries, but one side project boasts a more playful goal: Mapping brew preferences.
Systems Biology scientist Sushmita Roy finds and predicts trends in biological networks. Her toolkit includes computer science programs, blogs and other bright minds in the Discovery Building.
UW–Madison Mathematics Professor and Discovery Fellow Jordan Ellenberg provides perspective on programming in math, Google Hangout and why our brains are the ultimate tool for discovery.