
Melvin Johnson is a Vice President of Research at Google DeepMind, where he leads Gemini Post-Training across reinforcement learning, reasoning, alignment, and agentic capabilities for the Gemini model family. Previously at Google Research, he helped build Google’s Neural Machine Translation system and pioneered zero-shot multilingual translation across 100+ languages in Google Translate. He holds an M.S. in Computer Science from Stanford University.