Last updated: 11 November 2026

Dr. Arjhun Swaminathan

Independent Researcher, Technical AI Safety, funded by Coefficient Giving

Research Fellow, Supervised Program for Alignment Research (SPAR)

German citizen, based in GermanyContact via LinkedIn or email

Languages: English (C2) · German (B1) · Tamil (C2)

Abstract

Portrait of Arjhun Swaminathan
ProjectsPhotos

I'm a technical AI safety and governance researcher. My work sits between the technical side of AI and its regulation and governance. I have a PhD in computer science from the University of Tübingen, on privacy-preserving machine learning, and I hold the AIGP and CIPP/E certifications in AI governance and data protection. Before that, I studied mathematics and mathematical physics.

Keywords: compute governance; third-party auditing; agentic AI protocols; black-box attacks.

1Selected publications

  1. [4]Risk-Weighted Compute Permits: Enforcement Design Under Imperfect MonitoringUnder review.

View all on Google Scholar →

2Current work

Project Lead, Technical AI Governancefrom January 2027

AI Safety Camp 12

Selected to lead a team modeling compute-permit prices and audit rules.

Independent Researcher, Technical AI Safetysince October 2026

Full-time research and training in technical AI safety.

Research Fellow, Technical AI Governancesince September 2026

Supervised Program for Alignment Research (SPAR)

Studying how agent interoperability standards affect intentional loss-of-control risk.

MentorKevin Kohler

3Past work

Research Fellow, Technical AI GovernanceApril to September 2026

Safe AI Germany (SAIGE)

Extended a formal model of risk-weighted compute permits to audits facing hidden compute and manipulated evaluations. Led the resulting paper and co-authored a public policy brief.

MentorJoel Christoph

Scientific Researcher, Privacy-Preserving Machine LearningOctober 2022 to September 2026

University of Tübingen

Eight publications. Built and open-sourced end-to-end implementations of privacy-preserving methods.

Teaching, tutoring and supervision2022 to 2026

Taught and mentored 75+ graduate students. Supervised a master's thesis through to publication.

PhD RepresentativeJune 2023 to June 2026

Represented 60+ PhD students from nineteen research groups at the Institute for Bioinformatics and Medical Informatics, University of Tübingen.

4Education

2022 to 2026PhD, Computer ScienceUniversity of TübingenThesis: Privacy by Design: From Distributed Learning to Post-Deployment RisksGrade: 1.0 (100%), magna cum laudeSupervisors: Dr. Mete Akgün and Prof. Dr. Nico Pfeifer
2020 to 2022MSc, Mathematical PhysicsUniversity of TübingenThesis: Supersingular Isogeny Diffie-Hellman Key ExchangeGrade: 1.53 (91%)Thesis supervisor: Prof. Dr. Hannah Markwig
2016 to 2019BSc, MathematicsAmrita UniversityThesis: Resolution of Plane Curve Singularities: Blowing UpGrade: 1.4 (92%), First Class with Distinction

5Certifications

  • AIGP, Artificial Intelligence Governance Professional (IAPP)EU AI Act · ISO/IEC 42001 · Risk management
  • CIPP/E, Certified Information Privacy Professional/Europe (IAPP)GDPR · ePrivacy Directive

6Grants and awards

  • Career Transition Grant, Coefficient Giving, since October 2026.
  • Leadership Talent Academy Scholarship, Startup Center, University of Tübingen, 2025. One of twenty recipients of a three-month leadership and venture-building program.

References

  1. [R1]Prof. Dr. Nico Pfeifer. PhD supervisor. University of Tübingen.
  2. [R2]Dr. Anika Hannemann. Co-author. ZHAW Zurich University of Applied Sciences.
  3. [R3]Joel Christoph. SAIGE mentor. Harvard Kennedy School.

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