CV

PhD Candidate

King's College London, United Kingdom

• Currently in Progress
• Thesis on "Applications of Deep Reinforcement Learning for Cybersecurity".

BSc (Hons) Computer Science (Artificial Intelligence)

King's College London, United Kingdom

• First Class Honours.
• Dissertation on "Adversarial Machine Learning Evaluation of The MaMaDroid Feature Space".

Visiting Collaborator

Artificial Intelligence for Cyber Defence (AICD) Research Centre, The Alan Turing Institute

• PhD Research under Dr. Chris Hicks and Dr. Vasilios Mavroudis

Visiting Researcher

Systems Security Lab (S2Lab), University College London

• PhD Research under Dr. Fabio Pierazzi

King's Undergraduate Research Fellow

King's College London

• Evaluation of the impact of poisoning on machine learning classifiers for malware detection.

DRMD

DRL-based malware detection under concept drift.

mumoRAG-Attacks

Evaluating the vulnerability of multi-modal RAG pipelines.

RPAL

Evaluating the passive recovery of malware classifiers from data poisoning.

Wendigo

A deep reinforcement learning approach for DoS query discovery in GraphQL.

tesseract-ml

Eliminating experimental bias in malware classification across space and time.