Rizki Syarif

Rizki Syarif serves as a Cybersecurity Fellow at the Jackson School, University of Washington, contributing to an NSF-funded project investigating COVID-19 misinformation dissemination on Twitter. As an industry data scientist, he applies quantitative data analysis and machine learning expertise to cybersecurity research challenges.

Education:

• PhD in Experimental Particle Physics, Brown University
• Research experience at Fermilab and CERN analyzing Large Hadron Collider datasets

Research Interests: His work bridges cybersecurity and social media analytics, specializing in misinformation detection through machine learning. He leverages particle physics methodologies for big data analysis, focusing on Twitter-based information ecosystems and quantitative modeling of online disinformation patterns.

Current Projects: Leading NSF-funded research on pandemic-related misinformation dynamics, utilizing industry data science techniques to develop machine learning models for real-time social media analysis.