Summary
Kirtan Padh is a computer scientist and PhD researcher at Helmholtz AI Munich with a decade of experience applying causal inference and machine learning to fairness and accountability in automated systems. As a Scientific Collaborator at the AI Transparency Institute and former researcher at TUM, he blends rigorous theory with practical interventions—e.g., work on model-agnostic multi-objective fairness algorithms and improving fairness in Swisscom’s decision systems. He brings interdisciplinary fluency across mathematics, policy, and engineering, having led research teams at the Center for AI and Digital Policy and mediated ethics discussions between stakeholders and technical experts. Actively studying AI law and standards, Kirtan seeks to translate technical insights into legislation and robust governance for socio-technical AI. An unusual strength is his early foundation in pure mathematics paired with hands-on industry impact—from Goldman Sachs analytics to ML fairness deployments—enabling precise, policy-relevant research.
10 years of coding experience
5 years of employment as a software developer
Indian Institute of Technology Kanpur
Master’s Degree, Computer Science, 5.4/6, Master’s Degree, Computer Science, 5.4/6 at Ecole polytechnique fédérale de Lausanne
English, Hindi, Gujarati, French