Aaqib Saeed
I build machine learning systems that learn from messy real-world data such as audio, biosignals, sensor streams and text, with little supervision, and that run where the data already lives.
Assistant Professor at Eindhoven University of Technology, where I lead the Decentralized AI Research Lab. Previously Google Brain, Philips Research, and the University of Cambridge.
Research
Multimodal & foundation models
Representation learning across audio, signals and text. Pretraining and post-training that transfer with few labels, or none.
Language models & agentic systems
Models that reason, use tools and coordinate to solve a task end to end, rather than emit a single prediction.
Decentralized & efficient learning
Federated training across sites and devices, and inference small enough to run on the hardware that is actually there.
Contact
Email is the best way to reach me. I collaborate with research groups and industry teams, and take on a small number of advisory engagements.