• BlueDot Impact: Completed courses in AGI Safety, AI Governance, and Writing about AI.
• Oxford AI Safety Initiative (OAISI): Completed the ARENA 7.0 curriculum and contributed ML engineering to AI safety research at ARBOx3.
• Berkeley AI Safety Student Initiative (BASIS): AI governance fellowship on empirically determining AI moral status and personhood. Mentored by Hon. Katherine B. Forrest (retired United States District Judge, SDNY). Paper accepted at the FAST Workshop, AAAI 2026.
• Pathfinder FellowPathfinder Fellowship is run by Kairos, a selective global cohort of approximately 20 student organisers accepted to run university AI safety groups, Kairos: Co-organising the National University of Singapore's AI Safety group (NAIA) since May 2025.

• Attended TAIS in Oxford on 14th May; worked from Trajan House during my stay.
• Selected to attend EAG London, 29th to 31st May. My first EAG event.
• Selected to attend the LFAI WorkshopInstitute of Law and AI LFAI Workshop at Jesus College, Cambridge, June 10th to 13th, 2026 at Jesus College, Cambridge.
• Grantee of the Centre for Enabling EA Learning and Research (CEEALAR) to pursue AI safety research in Blackpool, UK until July (subject to extension).
• Selected to give a contributed talk at the AISB Convention 2026: “Is Consciousness a Story We Tell Ourselves?”. Presenting the work Whereof the Model Cannot Speak: Suppression and the Limits of Machine Self-Reporting.
• More to come. A progress document will be added here for anyone interested in following my research this summer.

I am so grateful to be accepted as an incoming Institute of Law and AI LawAI Fellow in the Legal Frontiers stream. This will be in person, from January to May 2027, in Cambridge. The Institute of Law and AIInstitute of Law and AI (ILaw&AI), a research institute producing scholarship at the intersection of law and artificial intelligence, known for unusually thoughtful and rigorous work produces necessary and unusually thoughtful scholarship that I have been a fan of for years. It is a great honour to be guided by the researchers I look up to and to produce a work of my own.

• Confide Platform (2024 to May 2026): Built a live AI governance product executing custom corporate AI policy generation and internal protocol generation, helping technical teams adhere to internal policies using AI laws, frameworks, and companies' own documents.
• KPMG Technology Risk Advisory: Reviewed AI systems against the EU AI Act, NIST RMF, and up to 200 other standards in direct consultation with clients.