Neural networks and machine learning once seemed like far-fetched futuristic concepts but are now proven successful tools that can help scientists approach big problems (and big datasets). A major advantage for machine learning is that it can analyze high throughput datasets and pull out the best predictions out of millions of sequence combinations — a …
Andrew Buller, professor of chemistry at UW-Madison and affiliate of the Department of Biochemistry, is working to develop methods to create new protein building blocks in living systems. This chemical research, recently recognized with a $2.2 million grant from NIH, could make these processes more affordable for and accessible to scientists with expertise in other backgrounds.
Biochemistry assistant professor Philip Romero and neuroscience assistant professor Ari Rosenberg are the recipients of 2018 Shaw Scientist Awards from the Greater Milwaukee Foundation.
Phil Romero wants to understand how proteins accomplish that job so that he can eventually apply their power to important problems in medicine, agriculture, chemistry and bioenergy. He is betting on the top-down approach: learning how protein sequence translates into function by analyzing massive data sets.