MISSION + TEAM

Ignacio focuses on using machine learning to solve cybersecurity challenges. He is especially interested in building systems that can put machine learning to use, human-in-the-loop analytics, threat detection, and pentesting. Prior to Corelight, he was chief data scientist at PatternEx, and worked as a researcher at CSAIL, MIT.

Jamie studied computer science and economics at Brown University before dropping out junior year to pursue a startup. Jamie spent the next 10 years building out infrastructure and security for companies including Samsung, Apple, and Airbnb before joining Corelight.

Houston has more than two decades of experience working in a variety of systems admin and engineering roles at technology companies, with primary expertise in onboarding, administration and management of a number of platforms including Debian Linux, VMWare, CentOS, OpenBSD and Amazon AWS. Prior to joining Corelight he was in the trading infrastructure group at QuantLab group, an algorithmic trading firm. Before that he spent 10 years in various roles at AlertLogic. Houston is based in Houston, TX.

Mohan is broadly interested in computer systems, network security, and program analysis. He earned his Ph.D. in computer science from Rutgers University in 2013, focusing on improving the security and privacy of JavaScript-based Web applications. Before joining Corelight, Mohan was a research staff member with IBM Research, India, where he worked on security for enterprise SDNs and cloud deployments, and blockchain infrastructure.

Paul has more than 20 years of experience in information security with principal specialties in network intrusion detection (Snort, Bro, Suricata, SourceFire, FireEye), incident response, network vulnerability management (Qualys, Nessus, w3af, nmap and many more), computer forensics (SANS 408), firewalls, network security design, perl, python, C, FreeBSD, Linux, Windows. Prior to Corelight, he has held various information security research and management positions at Target, Code42, Thomson Reuters, GE, University of Minnesota and the Ford Motor Company. He has a master's degree in computer science from University of Minnesota and a bachelor's degree in computer science from University of Michigan.

Seth is co-founder and chief evangelist at Corelight, and a key contributor to the Zeek project - responsible for various frameworks, parsers and Zeek scripts in windspread global deployment. Seth is a frequent source of wisdom and advice on the Zeek mailing list, where he has helped hundreds of organizations successfully deploy Zeek and use it more effectively. He has an appointment in the networking group at the International Computer Science Institute. Many of the insights he has learned operationally have become features and capabiltiies in Zeek and within the Corelight Sensor.

Keith is an industry-recognized international expert in computer security with over two decades of experience in cybersecurity, incident response, and computer forensics. His expertise includes software development, innovative prototyping, information security consulting, application security, malware analysis and reverse engineering, software analysis/design and image/video/audio analysis. He is an accomplished instructor and has trained computer forensics and security to thousands of students including the FBI, Secret Service, NSA, RCMP, Assistant U.S. Attorneys, private classes for clients, and public classes.

Mei is a data scientist with a background in graph analysis and machine learning. Her focus is on developing algorithms for real-time attack detection. She holds a Ph.D. from MIT and a bachelor's degree from UC Berkeley.

Yacin builds algorithms to better understand network traffic, often in the context of improving security, ascertaining ownership of digital assets, or identifying abuse on the Internet. While completing his Ph.D. at Georgia Tech, he published academic papers in these research areas in a variety of research publications. He is also a volunteer and technology instructor for Black Girls Code.

Dubem has a background in network security and data science. Prior to Corelight, he was a Security Fellow at Insight Data Science in San Francisco and a graduate student researcher at the University of Southern California where he earned a Master's degree in Data Informatics. At Corelight, Dubem focuses on developing algorithms for encrypted traffic analysis and inference.

Vern is co-founder and chief scientist at Corelight, professor of computer science and UC Berkeley and creator of Zeek, the de facto standard open source platform for network security monitoring. A prolific and internationally recognized researcher, he also leads the networking group and security group at the Internation Computer Science Institute, and for decades held a position as the staff scientist at the Lawrence Berkeley National Lab. His wide-ranging research interests include Internet measurement, high performance network monitoring, detection algorithms, and combatting cybercrime, censorship and abusive surveillance.

Julien designs algorithms to create more robust network inferences using machine learning. He recently developed GGFAST, a tool that analyzes network traffic based on packet length signatures. Before joining Corelight in 2020 as an intern, he earned an master's degree from Ecole polytechnique, in computer systems security.

Ben is based in Brisbane, Australia and has more than 20 years of experience in helping organizations in the finance, cloud, law enforcement and telecommunications sectors design and deploy security controls, detection, response and investigative functions. Prior to Corelight, Ben was a principal engineer in the Threat Detection and Response team at Salesforce and has also served as senior investigator in the Cyberdefense team for NBNCo in Australia. He has a postgraduate certificate in information technology from Queensland University of Technology and a bachelor's degree in civil engineering from The University of Queensland.

Adrian started his career in Microsoft, designing data analytics modules. He later moved to Ericsson to participate in the development of projects in cooperation with the corporate security team. Since 2017, he has been modeling cyber attacks with machine learning and deep learning. Adrian's tasks involve researching behavioral patterns, designing machine learning algorithms, and developing Deep Learning models for sequence analysis, generative models and text classifiers. He has a master's degree from Trinity College, Dublin and holds a bachelor of science degree in computer science from University of Buenos Aires.

Jonathan lives in Lisbon, Portugal and has more than 20 years experience building and and maintaining highly-available infrastructure with a passion for building platforms that augments his team’s output and ability. Prior to Corelight he has held engineering roles at Uber, Cloudflare and Samsung. He is responsible for maintaining Corelight’s Polaris program.