Our Team

At The Standard School of Machine Learning (TheSSML), this faculty member specializes in large-scale, empirical research on Internet security, trust, and online safety. As an Assistant Professor of Computer Science, their work focuses on understanding and defending against real-world digital threats, including cybercrime, harassment, censorship, and disinformation. Their research integrates systems building, measurement science, and data-driven analysis to study complex networked ecosystems at global scale. By uncovering vulnerabilities, analyzing attacker behavior, and designing more resilient and trustworthy infrastructures, they contribute to both technical innovation and public policy. At TheSSML, they guide students in exploring how empirical methods, machine learning, and system design can strengthen digital safety and protect people in an increasingly interconnected world.