Zahra Moti

Zahra Moti

PhD Candidate
Radboud University

I am a PhD candidate at Radboud University working on applying AI and large language models to analyze web and mobile ecosystems. My research combines large-scale web measurement, data collection, and AI techniques to detect privacy violations across websites and mobile applications.

Backed by publications at IEEE S&P and ACM CCS, I combine strong research depth with hands-on experience.

Alongside my academic work, I collaborate with industry on applied privacy and AI systems. I currently work as a consultant with VaultJS in the United States and previously completed an industry internship at ING, where I built multi-agent retrieval-augmented pipelines for automated code understanding and modernization of large legacy codebases.

Education
2021 — Present

Ph.D. Candidate in Digital Security Group

Radboud University, The Netherlands
2017 — 2020

M.Sc. Computer Science

Shiraz University, Iran
2013 — 2017

B.Sc. Software Engineering

University of Isfahan, Iran
Work Experience
2021 — Present

PhD Candidate

Radboud University · Digital Security Group

Large-scale web measurement studies to detect online tracking and advertising using ML. Published at IEEE S&P and ACM CCS.

AI/MLLLMsData analysisWeb measurementsPrivacy
Jan 2026 — Present

Technical Consultant

VaultJS · United States (Remote)

Advising on mobile app privacy research, including AI-driven app navigation.

Mobile privacyAILLMsiOS
Apr 2025 — Oct 2025

Generative AI Engineer - Internship

ING · The Netherlands

Developing a multi-agent system with Retrieval-Augmented Generation (RAG) for automated code understanding and modernization.

LLMsRAGMulti-agentPythonSQL
Oct 2023 — Dec 2023

Visiting Researcher

University of Twente · iSecLab

Developed an iOS automation library that leverages large language models and accessibility features to navigate mobile apps and analyze in-app advertisements.

iOSLLMsAutomationPrompt EngineeringPrivacy
Sep 2020 — Sep 2021

Machine Learning Researcher

MarWell Bio · San Francisco (Remote)

Applied Deep Learning to therapeutic antibody discovery in a biotech research team.

Deep learningBioinformaticsPython
Publications
Skills

Machine Learning & AI

PyTorch TensorFlow HuggingFace Keras LLMs RAG GANs Sentence Transformers Prompt Engineering Agentic Systems

Privacy & Security

Web measurements Online tracking Advertising UI Automation Frida Network Traffic Analysis Malware detection

Engineering

Python JavaScript Java Puppeteer Pymobiledevice3 Selenium Playwright
Academic Service

Program Committee Member

  • The Web Conference 2026
  • MadWeb 2026
  • EuroSec 2026
  • USENIX Security 2024

Thesis Supervision

  • Leveraging LLM-based autonomous web agents for measuring personal data exfiltration in checkout forms
  • Security of local AI APIs and models shipped in major browsers such as Chrome
  • Agentic AI Browsers Under Threat: A Comparative Study of Vulnerabilities
Press Coverage
Contact