Making things liquid

AI needs guidance

I design artificial general intelligence

Ramin Hasani is an AI Scientist at the Computer Science and Artificial Intelligence Lab (CSAIL), Massachusetts Institute of Technology (MIT). Previously, he was jointly appointed as a Principal AI and Machine Learning Scientist at the Vanguard Group and a Research Affiliate at CSAIL MIT. Ramin’s research focuses on robust deep learning and decision-making in complex dynamical systems. Prior to that, he was a Postdoctoral Associate at CSAIL MIT, leading research on modeling intelligence and sequential decision-making, with Prof. Daniela Rus. He received his Ph.D. degree with distinction in Computer Science from the Vienna University of Technology (TU Wien), Austria (May 2020). His Ph.D. dissertation and continued research on Liquid Neural Networks got recognized internationally with numerous nominations and awards such as TÜV Austria Dissertation Award nomination in 2020, and HPC Innovation Excellence Award in 2022. He is a frequent TEDx Speaker. Ramin has completed an M.Sc. in Electronic Engineering at Politecnico di Milano (2015), Italy, and has got his B.Sc. in Electrical Engineering – Electronics at Ferdowsi University of Mashhad, Iran (2012).