Matt Lehman
About Matt Lehman
Matt Lehman is a Senior Data Scientist at GreyNoise Intelligence, where he has significantly contributed to the company's cybersecurity capabilities since 2022. He previously held various roles in cybersecurity and software engineering, including positions at Finite State and Battelle.
Current Role at GreyNoise Intelligence
Matt Lehman currently serves as a Senior Data Scientist at GreyNoise Intelligence, a position he has held since 2022. In this role, he focuses on enhancing the company's cybersecurity capabilities through data analysis and engineering. His work involves leveraging advanced data engineering tools and technologies to optimize processes and improve system design.
Previous Experience at GreyNoise Intelligence
Before his current role, Matt worked at GreyNoise Intelligence as a Software Engineer from 2019 to 2022. During this time, he developed the core honeypot software, which significantly contributed to the company's cybersecurity initiatives. He also played a crucial role in creating the framework for deploying and managing GreyNoise's extensive sensor network and data platform.
Experience at Finite State
Prior to joining GreyNoise, Matt served as a Senior DevOps Architect at Finite State from 2017 to 2019. In this role, he was responsible for implementing and managing DevOps practices, which included optimizing workflows and enhancing system reliability in a cybersecurity context.
Background in Cybersecurity Research
Matt's background includes significant experience in cybersecurity research. He worked at Battelle as a Cybersecurity Researcher from 2011 to 2015, and later as a Principal Research Scientist from 2015 to 2017. His work at Battelle focused on advancing cybersecurity technologies and methodologies.
Education and Technical Skills
Matt earned a Bachelor of Science degree in Computer Systems Networking and Telecommunications from Ohio University, where he studied from 2007 to 2011. He has mastered various data engineering tools and technologies, including Trino, Athena, Parquet, Firehose, and Spark. Additionally, he has developed expertise in Machine Learning pipelines using Pachyderm and honed his production-level Go software development skills.