In: Data Analytics

Scientist Spotlights: Ayah Zirikly 

A new research scientist with both the Center for Language and Speech Processing (CLSP) and Malone Center for Engineering in Healthcare, Zirikly builds AI-enabled models that analyze social media posts and word usage patterns to predict mental health disorders and symptoms.

Eli Sherman named 2020 Google Machine Learning Fellow

With the fellowship, Sherman, a PhD candidate advised by Ilya Shpitser, will investigate how machine learning can help improve clinical decision-making and allocation of healthcare resources.

Casey Overby Taylor

Casey Overby Taylor earns NIH Genomic Innovator Award

Overby Taylor was recognized for her research in developing and evaluating methods to incorporate genomic results in clinical decision support.

500,000 euros for COVID-19 study

The Federal Ministry of Education and Research (BMBF) award will support Helmholtz Zentrum München, Malone Center researchers as they investigate the mechanisms and complications of COVID-19 diseases.  

Hopkins researchers look to Twitter to evaluate social distancing measures

By comparing Twitter data from before and after the COVID-19 outbreak, Johns Hopkins University researchers found a profound impact on the...

Social media fuels spread of COVID-19 information – and misinformation

John C. Malone Professor Mark Dredze discusses how social media can help combat—or contribute to—the spread of misinformation during the COVID-19 pandemic