Using Machine Learning to Detect Coronavirus Threats

An artificial intelligence model has successfully identified coronaviruses capable of infecting humans, out of the thousands of viruses that circulate in wild animals. The model, developed by a team of biologists, mathematicians and physicists at UC Davis, could be used in surveillance for new pandemic threats. The work was published in Scientific Reports.

The Tangled Fate of Math and Biology with Mariel Vazquez

From pocketed headphones to carelessly packed garden hoses, knots find ways to manifest. Even our DNA molecules get tied in knots too. Professor Mariel Vazquez applies her training in mathematics to fundamental questions about DNA structure and functionality.