I am a data scientist passionate about how technology can positively impact people's lives and enhance everyday experiences. My core interests lie in anomaly detection, anti-cheat systems, and the prevention of abnormal or risky online behaviors. I am particularly drawn to leveraging deep learning for predictive modeling and timely intervention to create safer, more engaging digital environments.

My research background includes work at the London School of Economics and Political Science (LSE), where I focused on detecting suicidal ideation and cyberbullying on social media platforms. Academically, I hold a degree in Computer Science from the Georgia Institute of Technology, where I concentrated on interactive intelligence and deep learning applications.

Professionally, I previously worked at Krafton’s PUBG Studio, focusing on anti-cheat anomaly detection for the game Battlegrounds. Currently, I work at a global video game company, where I focus on churn user detection and using data science to drive positive player experiences and support overall game health.