Ramin Hasani
Co-founder and CEO of Liquid AI; first author of the Liquid Time-constant Networks paper
- Co-founder and CEO, Liquid AI12
- Machine learning scientist; previously a postdoctoral associate and research affiliate, MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)1
Ramin Hasani is a co-founder and the CEO of Liquid AI, a company spun out of MIT CSAIL, and a machine learning scientist at MIT CSAIL. Hasani's research centres on robust deep learning and decision-making in complex dynamical systems, and Hasani is first author of the Liquid Time-constant Networks and closed-form continuous-time model papers. Hasani is also a co-author of the LFM2 technical report, which describes Liquid AI's second generation of foundation models.12357
Career
Hasani earned a PhD in computer science at the Vienna University of Technology (TU Wien) in 2020, with a dissertation on liquid neural networks. Hasani then worked as a postdoctoral associate at MIT CSAIL with Daniela Rus, and later held a joint appointment as a principal AI and machine learning scientist at the Vanguard Group and a research affiliate at CSAIL.1
Hasani co-founded Liquid AI with Mathias Lechner, Alexander Amini and Daniela Rus as a spin-out of MIT CSAIL, and leads the company as CEO. The company's official pages give its founding year as 2023.21
Research
Hasani's 2020 paper on liquid time-constant networks describes recurrent models whose time constants vary with their hidden state, computed with numerical differential equation solvers. The same year, Hasani co-authored "Neural circuit policies enabling auditable autonomy" in Nature Machine Intelligence, with Lechner as first author.34
Follow-up work by Hasani on closed-form continuous-time models (2021) approximated these dynamics in closed form, and "Liquid Structural State-Space Models" (2022) combined liquid networks with structured state-space models. Hasani is among the authors of the LFM2 technical report released by Liquid AI in 2025.567
Work
LFM (Liquid Foundation Models)Open weights
Listed among the authors of the LFM2 technical report, which documents Liquid AI's LFM2 family of foundation models.7
Liquid Time-constant Networks (external site: arxiv.org)Published research
First author of the paper introducing liquid time-constant networks, continuous-time recurrent models built from linear first-order dynamical systems modulated by nonlinear gates.3
Closed-form Continuous-time Neural Models (external site: arxiv.org)Published research
First author of the paper deriving a closed-form approximation of liquid time-constant network dynamics, relaxing the need for complex numerical differential equation solvers.5
Career timeline
May 2020
Completed a PhD in computer science at TU Wien with a dissertation on liquid neural networks.1
Jun 2020
Posted "Liquid Time-constant Networks" as first author.3
Oct 2020
Co-authored "Neural circuit policies enabling auditable autonomy" in Nature Machine Intelligence.4
Jun 2021
Posted "Closed-form Continuous-time Neural Models" as first author.5
Sep 2022
Posted "Liquid Structural State-Space Models" as first author.6
2023
Co-founded Liquid AI as a spin-out of MIT CSAIL and became its CEO.21
Nov 2025
Co-authored the LFM2 technical report describing Liquid AI's LFM2 models.7
Other documented roles
Roles the sources document but that are not confirmed as current.
- Principal AI and Machine Learning Scientist (past), The Vanguard Group1
Related people
More sourced profiles at the same organization, in the same field, or from the same school.
- Alex RivesAlso at MIT
- Alexander AminiAlso at Liquid AI
- Amnon ShashuaAlso from MIT
- Jacob AndreasAlso at Massachusetts Institute of Technology
- Bob McGrewRobotics
- Andrew NgAlso from MIT
- Kaiming HeAlso at Massachusetts Institute of Technology
- Mathias LechnerAlso at Liquid AI
- Bill DallyAlso at Massachusetts Institute of Technology
- Maxime LabonneAlso at Liquid AI
- Rohit PrasadLanguage models
- Brian HieAlso from MIT
Is this you?
Profiles cover public professional work only, and every line cites a source. If something is out of date, missing or wrong, send a correction with a link to an official page and we will update it. Suggest a correction
Add this badge to your website or GitHub profile README. It links back to this page. It is not an endorsement or a rating.
Markdown (for a README)
[](https://unitedstatesofamericasuperintelligence.com/people/ramin-hasani/)
HTML
<a href="https://unitedstatesofamericasuperintelligence.com/people/ramin-hasani/"><img src="https://unitedstatesofamericasuperintelligence.com/badges/profile.svg" alt="Ramin Hasani — Profile on USASI" height="20"></a>
This profile covers public professional work only, from the sources below. It is not an endorsement or a ranking. To correct or remove it, use the correction form.