TEAM

The people behind Liquid AI.

  • Photo of Ramin Hasani

    Ramin Hasani

    Co-founder & CEO

    Ramin Hasani is the Co-founder and CEO of Liquid AI and a machine learning 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.

  • Photo of Mathias Lechner

    Mathias Lechner

    Co-founder & CTO

    Mathias Lechner is the Co-founder and CTO of Liquid AI, as well as a Research Affiliate at the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT, where he collaborates with Prof. Daniela Rus. He completed his PhD in 2022 at the Institute of Science and Technology Austria (ISTA), under the supervision of Tom Henzinger. Before his PhD, he earned his master’s (2017) and bachelor’s (2016) degrees in Computer Science from the Vienna University of Technology (TU Wien).

    In his research role at MIT, he focuses on developing robust and trustworthy machine learning models. His work has been published in the journal Nature Machine Intelligence and presented at leading ML/AI conferences, including NeurIPS, ICML, ICLR, ICRA, and AAAI.

    Alongside his colleague Djordje Zikelic, he received the 2023 Outstanding Scientific Achievement Award at the Institute of Science and Technology Austria for their work on proving safety in stochastic machine learning systems. In 2022, he received the Hyperion Research HPC Innovation Excellence Award for his work on Liquid neural networks, in collaboration with Ramin Hasani, and was honored as an Outstanding Reviewer at ICRA 2021. He also co-led the team that won the F1-Tenth Autonomous Racing Grand Prix at IFAC 2020 and received the Distinguished Young Alumni Award at TU Vienna in 2018 for his master’s thesis.‍

  • Photo of Alexander Amini

    Alexander Amini

    Co-founder & CSO

    Dr. Alexander Amini is the Co-founder and the CSO of Liquid AI as well as an AI Scientist at the Massachusetts Institute of Technology (MIT).

    His inventions have been deployed on autonomous vehicles, for medical drug discovery, and across domains that require AI to make responsible and reliable decisions. Amini received his Bachelor's, Master's, and PhD degrees from MIT in Computer Science, and is the creator, lead organizer, and lecturer of MIT Introduction to Deep Learning, MIT's official introductory course on deep learning, where his lectures have amassed over 10 million views from over 100,000 globally registered students.

  • Photo of Daniela L. Rus

    Daniela L. Rus

    Co-founder of Liquid AI

    Daniela L. Rus is the Co-founder of Liquid AI. She is the Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science and Director of the Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT. Rus’s research interests are in robotics, mobile computing, and data science. Rus is a Class of 2002 MacArthur Fellow, a fellow of ACM, AAAI and IEEE, and a member of the National Academy of Engineering, and the American Academy for Arts and Science. She earned her PhD in Computer Science from Cornell University.

  • Photo of Jeffrey Li

    Jeffrey Li

    Chief operating officer of Liquid AI

    Jeffrey Li is the Chief Operating Officer of Liquid AI, where he leads cross-functional execution across Product, Engineering, and Research, translating company priorities into delivery roadmaps, allocating resources, and continuously measuring and improving execution quality.

    Before Liquid, Jeffrey was an early hire at Scale AI, tasked with scaling data labeling beyond autonomous vehicles, where he helped build the business from the ground up and landed foundational deals with customers like OpenAI and big tech. He helped found Gather. Town at the height of Covid lockdowns, raising a Series A and B from Sequoia before its acquisition by Figma.

    He has a Computer Science degree from MIT.