Foundation Models

Chief scientist and co-founder of Liquid AI, and an associate at MIT CSAIL, with research spanning AI, machine learning, and dynamical systems.

Liquid AI researcher working on multimodal AI, large language models, and machine learning, and a co-author of the LFM2 technical report.

Nicholas Warner is a Research Scientist at Liquid AI. He previously worked as a research scientist at Salesforce and Amazon, earned a PhD in statistics from the University of Chicago, and focuses on language models, reasoning, and related foundation-model research.

Ramin Hasani is a researcher and entrepreneur at Liquid AI whose public homepage and Google Scholar profile highlight work on liquid neural networks, efficient foundation models, and reliable AI systems.

Researcher at Liquid AI and coauthor of the LFM2 Technical Report.

Researcher working on language models and efficient multimodal systems, including Liquid AI LFM2.

Nima Dehghani is a computational neuroscientist and AI researcher at Liquid AI whose public homepage highlights work on neural dynamics, brain-inspired AI, and efficient models.

Simeon Spasov is chief scientist at Liquid AI.

Mathias Lechner

Min Du

Nicholas Warner

Ramin Hasani

Alexander Kozachinski

Alex Mootoovaloo

Arash Saraf

Arjun Bhagoji

Ayush Tiwari

Darshan Kale

Gagandeep Singh

Haotian Li

Karan Manghnani

Kevin J. Liang

Nicholas Cullen

Oliver Fleischer

Panagiotis Karkada

Patricio Vulić

Prakash Parvathaneni

Ramin M. Khanipour

Ravishankar Iyer

Serdar Bozdag

Soo-Young Lee

Sreehari Veeramachaneni

Srikanth Kaptan

Szymon Migacz

Toby Galway

Tyree Wong

Varun Godbole

Yusuf Onur Arik

Deepak Marathe

Nima Dehghani

Simeon Spasov