Bonjour, Hello, مرحبًا, 你好, Привет 🗺️
I am a PhD candidate in Computer Science at Mohamed Bin Zayed University of Artificial Intelligence (MBZUAI). My work sits at the intersection of intelligence analysis, behavioral science, and machine learning, with a focus on risk and threat assessment to support high-stakes decision-making. I specialize in translating qualitative intelligence into quantitative risk models, developing statistical, machine learning, causal, and econometric frameworks for inference under uncertainty. These methods are applied across security, justice, trust and safety, and emerging AI-enabled risks, informing both operational practice and policy design.
To provide additional context, before I began my PhD, I spent eight years working within justice systems—initially in child protection and later as a social data analyst—primarily engaging with qualitative data. Over time, I became increasingly aware of a structural limitation in this work: risk assessment was largely based on qualitative judgments, inevitably shaped by individual bias, subjective interpretation, and informal expertise. When confronted with high-stakes domains, I began to question whether decisions of such consequence should rely on methods that are neither formalized nor quantitatively grounded. This reflection led me to pursue an MSc in Data Engineering for AI, through which I acquired a rigorous technical foundation in machine learning and quantitative methods.
I am now deeply motivated by the challenge of translating qualitative intelligence into rigorous quantitative frameworks in order to identify, model, analyze, and monitor risk.
I welcome discussions and invite you to contact me directly on LinkedIn.
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