Shiv Munagala

Contributed capability evaluations for frontier AI models through AISI’s bounty program. Developed and evaluated agent scaffolds for variable malicious behaviour and evasion conditioned on user competence. This work was integrated into internal UK government risk assessment benchmarks for frontier AI systems.

Contributed to the Inspect Evals suite of evaluations for frontier AI systems by implementing the MathVista benchmark.

Lead statistician for a global patient survey in pulmonary vascular disease. Responsible for quantitative analysis across multiple research groups and for designing data access and governance structures that balance reuse with patient privacy.

• The Pulmonary Hypertension Global Patient Survey, European Respiratory Journal Open Research (2025)
• Governing Automated Strategic Intelligence, arXiv preprint (2024)
• Additional manuscripts in progress as part of the PVRI Global Patient Survey

• Pulmonary Hypertension Global Patient Survey: A Call to Action, Pulmonary Circulation (2025)

• Pulmonary Hypertension Global Patient Survey: Quality of Life, European Respiratory Journal (2025, conference abstract)
• A longitudinal study of digital walk tests in the community, European Respiratory Journal (2025, conference abstract)

• Findings from the Pulmonary Hypertension Global Patient Survey presented at ERS-2024 (Best Abstract in Patient Centred Research), WSPH-7, and PVRI-2024

• Measurement of Physical Stress Response. Lead inventor. UK Intellectual Property Office (submitted 2024)

Logistics optimisation, automation, and central AI strategy.

Early data science hire working on physiological stress detection and end-to-end ML systems.