Alexandros G. Dimakis

Alexandros G. Dimakis is a Professor at the University of California, Berkeley's Department of Electrical Engineering and Computer Sciences (EECS), College of Engineering. He is also Co-Director of the National AI Institute for Foundations of Machine Learning and Co-Founder of BespokeLabs.ai.

• PhD (2008) and Diploma (2003) in Electrical Engineering

His research focuses on Generative AI, Information Theory, and Machine Learning. Recent work includes advancements in diffusion models, compressed sensing, and causal inference. His publications (150+) emphasize inverse problems, neural network verification, and generative model optimization.

Recent publications highlight trends in Diffusion Models for inverse problems, Language Model Scaling, and 3D-Aware Generative Systems. Collaborative projects span biomedical applications, large-scale dataset curation (Datacomp-LM), and parameter-efficient model fine-tuning.

Scientific Awards:

• IEEE Fellow (2022)
• James Massey Award (2018)
• NSF CAREER Award (2011)
• Google Research Faculty Award
• Best Paper awards at UAI workshops
• Eli Jury Dissertation Award (UC Berkeley)

He advises PhD students in generative modeling, compressed sensing, and information theory. His research group collaborates with institutions like MIT, NYU, and IBM Research. Former students hold positions at Google, Amazon, and academic institutions like Purdue University.