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,
which requires the development of new models that allow robots to interact safely and efficiently
with their environments.
Contact: tkrusch [at] mit.edu
news
| 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) |
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| Sep, 2024 | Paper accepted at PNAS: Message-Passing Monte Carlo: Generating low-discrepancy point sets via Graph Neural Networks |
| Feb, 2024 | Paper accepted at TMLR (joint work with Cambridge, DeepMind, Oxford, and MILA): How does over-squashing affect the power of GNNs? |
| Sep, 2023 | Paper accepted at NeurIPS 2023 (joint work with Caltech): Neural Oscillators are Universal |
| Sep, 2023 | I successfully defended my PhD thesis. I am thankful to my advisor Siddhartha Mishra and my examiners Max Welling and Michael Mahoney. |