News MLI
Flabby and flexible: How Machine Learning helps to build new proteins
A team of researchers from the Heidelberg Institute for Theoretical Studies (HITS) and the Max Planck Institute for Polymer Research (MPIP) …
Generating Highly Designable Proteins with Geometric Algebra Flow Matching
Generating structurally diverse and physically realizable protein backbones remains one of the grand challenges in protein design. We propose a generative …
New SIMPLAIX PI: Jan Stühmer
Computer scientist Jan Stühmer, group leader at HITS and Junior professor at the Karlsruhe Institute of Technology (KIT), has been …
When machines learn for science
Computer scientist Jan Stühmer leads the new HITS research group “Machine Learning and Artificial Intelligence” (MLI). He was concurrently appointed …
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