T. Konstantin Rusch

Postdoctoral researcher at MIT.

My name is T. Konstantin Rusch and I’m a postdoctoral researcher at CSAIL, MIT advised by Daniela Rus. Before that I finished a PhD in Machine Learning / Applied Mathematics at ETH Zurich, advised by Siddhartha Mishra. Moreover, during my PhD studies I had a second affiliation at the EECS Department at UC Berkeley, advised by Michael Mahoney.


I am a computational applied mathematician focused on AI research. Much of my work takes inspirations from physics and neuroscience to develop novel state-of-the-art machine learning approaches. My research is deeply grounded in computational science and statistics, providing rigorous mathematical insights. My main application area is in robotics; one of my goals is to achieve physical intelligence: AI that understands physical laws and interacts intuitively with the physical world. This is a crucial step toward transitioning AI from purely digital environments to real-world applications in robotics.

Contact: tkrusch [at] mit.edu


news

Oct, 2024 Invited TEDx Talk: I got invited to give a talk at TEDx MIT in December 2024 highlighting our recent advances in physics-inspired AI.
Sep, 2024 News article about our MPMC paper: MIT news wrote a news article about our recent PNAS paper on Message-Passing Monte Carlo (MPMC)
Sep, 2024 Paper accepted at PNAS: Message-Passing Monte Carlo: Generating low-discrepancy point sets via Graph Neural Networks