Matthew Landen
Cyber Data Analyst
Atlanta, Georgia, United States
Summary
👤
Senior🎓
Top SchoolMatthew Landen is a Cyber Data Analyst and PhD candidate in computer science at Georgia Tech with a decade of experience applying reinforcement learning to hard security problems in cyber-physical systems. He has collaborated with Lawrence Livermore National Laboratory and now works at Johns Hopkins APL, focusing on making industrial control and power grid operations robust to adversarial attacks. His work blends deep RL (actor-critic and risk-averse agents) with domain-informed, data-driven models to improve both security and operational reliability. Beyond research, Matthew has built practical tooling and prototypes during internships at NIST and the DIA, demonstrating an ability to translate academic ideas into deployable systems. He brings rare cross-cutting expertise in offensive-aware defense for operational technology, combining rigorous research with hands-on engineering.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Georgia Institute of TechnologyUMBC
English, Spanish
Github Skills (10)
reinforcement-learning-environments6
sequential6
power-systems5
testbed5
decision-making4
reinforcement-learning4
machine-learning3
pytorch1
agent1
rte1
Programming languages (2)
Github contributions (5)
mlanden/mlanden.github.io
Sep 2017 - Nov 2021
Contributions:26 pushes, 1 branch in 4 years 2 months
mlanden/RMAXQ
Mar 2017 - May 2017
Contributions:21 pushes, 1 branch in 2 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.