All work
Security researcher / behavioral-simulation engineer
Behavioral Simulation for Decentralized Detection Systems
2024–2025 · Scored a perfect 1.0
Contributed to a decentralized security challenge on a blockchain-based subnet, probing detection layers with realistic behavioral-simulation models so the network’s defenses improve.
Highlights
- Extended an open-source input-simulation library with custom kinematic and statistical models.
- Identified sampling-rate irregularity as the main failure mode; used EaseInOutCubic easing to match hardware-level input sampling.
- Built a Beta-distribution keystroke-timing engine.
- Showed spatial point-spacing beats temporal randomization.
- Scored a perfect 1.0 across multiple challenge versions.
