Bonjour, Hello, مرحبًا, 你好, Привет 🗺️
I am a PhD student in Computer Science at MBZUAI in Abu Dhabi. My academic and professional trajectory is grounded in a single guiding question: is it possible to model specific situations in uncertain environments in order to anticipate the next criminal act, security failure, or emerging conflict?
This question first led me, at the age of 18, to study social sciences and to work as an analyst within the justice system, specifically in the context of child protection services. In this role, my responsibility was to assess risks and identify potential threats within complex human systems, with the objective of preventing criminal behavior. Over time, however, I became acutely aware of the limitations of purely qualitative approaches: qualitative data alone was insufficient to reliably assess risk or predict adverse outcomes.
This realization motivated me to pursue a Master’s degree in Data Engineering for Artificial Intelligence, marking a transition toward quantitative modeling. Today, my research integrates causal, statistical, and probabilistic modeling with recent advances in AI world modeling, informed by behavioral science, psychology, and econometrics to support threat, risk, and strategic intelligence analysis in high-uncertainty environments.
More specifically, my thesis focuses on how we can construct causal world models that capture the complex interdependencies within cybercrime ecosystems and between adversaries and organizational defenders, enabling rigorous risk quantification, investigative reasoning about attacks, and strategic decision-making about interventions under uncertainty.
I welcome discussions and invite you to contact me directly on LinkedIn.
Latest Posts
Modeling Target Behavior: How World Models Improve Agentic Red-Teaming