About Me
I'm Ido Hakimi, a Computer Scientist and AI researcher specializing in Large Language Models and high-performance distributed systems. I earned my Ph.D. at the Technion, where I focused on accelerating distributed training of deep neural networks, and later joined Google DeepMind. Today, I'm a Postdoctoral Fellow at the ETH AI Center in Zürich, where I work on test-time learning: developing methods that let models adapt and learn during inference. As compute budgets continue to grow, my research focuses on scaling reasoning capabilities with available compute to enable more dynamic, context-aware intelligence.
Research Interests
- Large Language Models (LLMs)
- Test-Time Learning
- Distributed Systems for AI
- Efficient Model Inference
- Neural Network Acceleration