2025Stanford University
Ph.D., Computer Science
GPA 4.016. Advisor: Professor Zakir Durumeric. Thesis: Narrative Networks: Investigating Patterns of Influence and Propaganda across International News Outlets. Empirical Security Research Group.
GPA 4.016. Advisor: Professor Zakir Durumeric. Thesis: Narrative Networks: Investigating Patterns of Influence and Propaganda across International News Outlets. Empirical Security Research Group.
GPA 4.016. Advisor: Professor Zakir Durumeric. National Science Foundation Graduate Fellow.
Distinction (Highest Honors). Advisor: Professor Garrett Morris. Daniel M. Sachs Class of 1960 Graduating Scholar, Worcester College.
Distinction (Highest Honors). Advisors: Dr. Riccardo Spolaor, Professor Ivan Martinovic. Daniel M. Sachs Class of 1960 Graduating Scholar, Worcester College.
Highest Honors. GPA 3.982. Advisor: Professor Prateek Mittal. Concentration: Information Security and Privacy. Minors: Applications of Computing; Robotics and Intelligent Systems. Phi Beta Kappa; Tau Beta Pi; Sigma Xi.
Large-scale language-model systems for AI safety and truthfulness: multilingual representation learning, semantic modeling, and evaluation of model-generated content. LLM-based evaluators and measurement pipelines for factuality, reasoning quality, and integrity risk.
Multilingual and multimodal LLM pipelines modeling content semantics, creator verticals, and user interaction behavior across Instagram for downstream recommender systems, plus LLM-based evaluation metrics for content quality and integrity.
LLM-based agents for structured querying and high-fidelity reasoning over large clinical datasets, with verification layers and evaluation frameworks for accuracy, safety, and adversarial robustness.
Investigated global misinformation and influence operations; authored seven reports on cross-platform inauthentic behavior and propaganda narratives. Published pieces →
Built a C# framework for the Business Applications Group mobile offline synchronisation tool, scaling it to twice the users while cutting sync time by 75%, and added concurrent row versioning across servers. Validated with seven load and stress tests on a 30-server group.
Designed and shipped a security feature for Gmail Android that analyses outgoing email addresses to reduce user vulnerability, and implemented client-side logic cutting request latency and bandwidth when processing recipients against the backend.
Implemented an action executor in Java for the Google Sheets API v4 within randomised end-to-end security software, extending authorisation test coverage to critical new launch flows. Contributed 52 changes, including 37 unit and 55 integration tests.
Contributed to the Texas Tech Answer Set Prolog codebase, exploring applications to AI and cybersecurity, and designed a Generate-and-Test program identifying de-anonymisation inference leakages in a k-anonymity model. Advised by Dr Rattikorn Hewett.
Wrote the engineering dossier for the Top Gun training instrument and presented it to the Chief Medical Officer of Lexion Medical. Built three Java programs driving a Wiimote interface to teach laparoscopic surgeons ultrasound technique.
AAAI Doctoral Consortium for PhD dissertation
Rising Stars in Data Science — Stanford / UCSD / UChicago
Meta PhD Research Fellowship, Computational Social Science
Worcester College Prize for Academic Excellence, University of Oxford
Daniel M. Sachs Class of 1960 Graduating Scholarship, Worcester College, Oxford — Princeton announcement
Charles Ira Young Memorial Tablet & Medal, Princeton ECE
George B. Wood Legacy Prize, Princeton
Phi Beta Kappa · Tau Beta Pi · Sigma Xi · National Merit Scholar