Summary
Tanmay Sinha is a research scientist and educator based in Singapore who bridges learning sciences, AI, and practical pedagogy to design interventions that improve how students and teachers learn from failure. With a PhD from ETH Zurich and an MS in AI from Carnegie Mellon, his influential work (2400+ citations, h-index 22) reframes emotions like curiosity and shame as socially situated drivers of learning rather than mere internal traits. He has shown that deliberate, guided failure can preserve conceptual understanding and boost transfer, and his widely read explanatory account on emotions in the Journal of the Learning Sciences has shaped debate across the field. Tanmay builds web-based simulations, AI chatbots, unplugged activities, and short PD programs that demonstrably raise teacher readiness to build with AI, translating theory into scalable classroom practice. He’s now advancing personalized socio-emotional and failure-aware educational technologies that aim to cultivate resilience and meaningful peer learning experiences.
8 years of coding experience
ETH Zurich