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. |
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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 |