David Lopes Pegna

David Lopes Pegna is the lead data scientist at Vectra Networks where he leads the development of analytical models for malware detections and real time insights into advanced persistent attacks. The machine learning models developed at Vectra adapt as cyber attacks evolve and anticipate the attackers' next move in real time so it can be stopped.

Earlier he worked on the CMS experiment at the Large Hadron Collider as senior researcher in the Princeton University group working on the discovery of the Higgs boson. He has a Ph.D in Experimental High Energy Physics from University of Pavia, Italy.

The opinions expressed in this blog are those of David Lopes Pegna and do not necessarily represent those of IDG Communications, Inc., its parent, subsidiary or affiliated companies.


Cybersecurity, data science and machine learning: Is all data equal?

Among the many possible applications of machine learning to cybersecurity data, classifier models can be built to identify cyberattacks and abnormal behaviors. I will discuss the relative importance of the different type of data that...

Big data sends cybersecurity back to the future

Big data sends cybersecurity back to the future

The rising popularity of data science is largely due to incredible amount of digital data that is collected and processed daily — we are truly in the big data era. Here are the aspects of big data that are important to build the next...

Creating cybersecurity that thinks

Data science techniques can help security move from reacting to threats after discovery to predicting them.

Load More