Atoof Shakir works at the intersection of multimodal AI, representation learning, and large-scale human insight extraction. At ETH Zurich and the Agentic Systems Lab, he is developing systems that can interpret vast streams of real-world digital behavior — from short-form video to social media and news — and turn them into structured, actionable understanding. His work combines strong technical depth with an unusually applied orientation: rather than building models in isolation, he is interested in how multimodal agents can operate in noisy, dynamic environments where language, visuals, and human behavior constantly interact.
Atoof Shakir works at the intersection of multimodal AI, representation learning, and large-scale human insight extraction. At ETH Zurich and the Agentic Systems Lab, he is developing systems that can interpret vast streams of real-world digital behavior — from short-form video to social media and news — and turn them into structured, actionable understanding. His work combines strong technical depth with an unusually applied orientation: rather than building models in isolation, he is interested in how multimodal agents can operate in noisy, dynamic environments where language, visuals, and human behavior constantly interact.