Biography

Rachel Greenstadt is an associate professor at New York University (NYU). Her research has focused on designing more trustworthy intelligent systems — systems that act not only autonomously, but also with integrity, so that they can be trusted with important data and decisions.

Prior to joining NYU, Rachel was an associate professor of Computer Science at Drexel University, where she ran the highly regarded Privacy, Security, and Automation Laboratory (PSAL) and served as an advisor to the Drexel Women in Computing Society. Before that, she was a postdoctoral fellow at Harvard’s School of Engineering and Applied Sciences, a visiting scholar with the University of Southern California TEAMCORE group, and a research intern at Lawrence Livermore National Laboratory.

She holds a bachelor’s degree in Computer Science and master’s degrees in Electrical Engineering and Computer Science from MIT, as well as a Phd in Computer Science from Harvard.

Latest news

The positive development of a privacy preserv...

Since the beginning of the year, we have watched COVID-19 cases fluctuate around the world, turning ...

How AI can learn to win the cybersecurity “game”

Cybersecurity is an incredibly serious business. So thinking of it as a game may seem a little odd. ...

Global audience makes first virtual CyberSec&...

The first virtual edition of CyberSec&AI Connected took place on October 8th. Building on 2019...

CyberSec&AI Connected is here!

After a year of planning and preparation, CyberSec&AI Connected has arrived. Today sees delegate...