Translating raw data into insight

Niko Escanilla was drawn from his background in mathematics to graduate study in artificial intelligence and machine learning because he was looking for a discipline that could be applied in real world and clinical settings. As a graduate student in Computer Sciences, Escanilla had the chance to put those techniques to work as a research assistant on a UW2020-funded project, assessing variables that can predict the risk of breast cancer.

Archiving today’s culture for tomorrow’s researchers, through podcasts

When Samuel Hansen started producing podcasts about mathematics and science, it was possible for a small, independent podcast like Hansen’s to rank in the country’s top 60 most popular shows. Now, the top charts are dominated by network-produced podcasts, a change that has taken place in the last 10 years alone – but not the last the world of podcasting will see.

To preserve podcasts as they are now, and archive the changes within them, a project at UW–Madison is dedicated to making today’s podcasts available well into the future.

Taking a hands-on approach to catalyst research

To Keishla Rivera-Dones, chemical engineering is about more than dealing with chemical reactions; it’s about understanding the building blocks of everything.

A PhD student at UW–Madison in the Dumesic and Huber Research Groups, Rivera-Dones works with supported metal catalysts and applies them to promote and improve the efficiency of chemical reactions.

Applying machine learning models to improve dairy farm management

As new technologies have opened doors for dairy farms to harness more data from their herds than ever before, farmers around the state have embraced these innovations.

That leaves farmers with vast amounts of data – on cows, herds, farms, the market, crops, and soils – but, as of yet, no way to integrate the entirety of that data into farm management.

Exploring an antiviral factor that helps, rather than hinders, influenza

Mitch Ledwith is motivated every day by the excitement that comes with new, and sometimes unexpected, discoveries.

As a PhD student in Cellular and Molecular Biology and a research assistant in the Mehle lab, Ledwith has been a firsthand witness to just one of those exciting discoveries on the University of Wisconsin–Madison campus, through a project funded by a UW2020 grant.

Luke Loken

Luke Loken is a hydrologic research technician for the USGS Wisconsin Water Science Center and concurrently pursuing a PhD in Freshwater and Marine Sciences in Emily Stanley’s lab at the Center for Limnology. He and his colleagues at the University of Wisconsin developed a new tool to better understand aquatic ecosystems.

Eun Ha Namkung

Eun Ha Namkung is a PhD candidate in the School of Social Work and graduate assistant at the Waisman Center. Her research interests center around the dynamics and consequences of family caregiving over the life course. Most of her recent work examines families of an adult child with intellectual and developmental disabilities or serious mental illnesses.