Bloomberg's Julia Stoyanovich on the Importance of Many Perspectives at the Data for Good Exchange

Julia Stoyanovich has worked in data management in all different sectors of the tech world. During the first dotcom boom – and bust – she was at Juno, an internet service provider that Stoyanovich says had the distinction of being the first “bad” tech IPO of that time. “It made me stronger,” she says, laughing. Since then, she’s done research at Columbia University, IBM, the Max Planck Institute for Informatics, Yahoo!, and the University of Pennsylvania. Now, as an assistant professor of computer science at Drexel University, one of her passions is an initiative called “Data, Responsibly,” which promotes fairness, neutrality, and transparency in data analysis.

Stoyanovich’s diversity of experience makes her a perfect fit to be a member of the Program Committee for the fourth annual Data for Good Exchange (D4GX), to be held Sunday, September 24, 2017 at Bloomberg’s New York headquarters. The conference explores the use of data science for social good, and brings together data scientists from industry and academia with not-for-profits and government entities seeking to use modern machine learning and data science methods to address challenges in the public and non-profit sectors.

To read the full story, click here.