Creat­ing the Future
Projects

Beyond Retinal: Machine Learn­ing Models for Photo­chem­i­cal Control in Rhodopsins

Hector RCD Awardee Prof. Dr. Carolin Müller
Hector Fellow Prof. Dr. Klaus Robert Müller
Hector Fellow Prof. Dr. Peter Hegemann

The project is developing a machine learning framework to accurately predict the excited states of rhodopsins. To this end, a dataset of quantum chemical calculations on retinal derivatives in protein-like environments is being compiled and used for model training. The models are validated and refined through the repeated synthesis and spectroscopic analysis of specifically designed rhodopsin variants. The goal is to create a data-driven platform for the rational design of light-sensitive proteins and the accelerated development of new photoreceptors.

© Pter - Adobe Stock

Ultra-High Fatigue Life Elastocaloric Micro­cool­ing for Photonic Systems

Hector Fellow Prof. Dr. Peter Gumbsch
Hector Fellow Prof. Dr. Juerg Leuthold
Hector RCD Awardee Dr. Jingyuan Xu

Modern photonic systems require precise thermal management to ensure stability and performance. This interdisciplinary project develops a new type of elastocaloric microcooling device capable of operating for more than one million cycles. By combining advanced materials research on shape memory alloy films with innovative device engineering and photonic system integration, the project aims to create a highly efficient solid-state cooling technology. The collaboration between KIT, ETH Zurich, and Fraunhofer IWM addresses key challenges in durability and reliability of microscale cooling technologies for next-generation photonic and neuromorphic systems.

Anna

© Anna - Adobe Stock

Engineer­ing Covalent Quantum Model Systems

Hector Fellow Manfred Kappes
Hector RCD Awardee Philip Willke

The project is developing covalently linked porphyrin spin chains on ultrathin insulators to create designer quantum model systems. Using low-energy electrospray ion beam deposition (LEIBD), mass-selected metal-tetraphenylporphyrin fragments are selectively deposited onto MgO/Ag(100) or NaCl/Au(111) substrates and linked into short 1-D chains (2–6 units). Using ESR-STM and pulsed ESR techniques (Rabi, Ramsey, Echo), the g-factor, exchange, and dipole couplings are determined and the spins are coherently controlled, creating a versatile platform for molecular quantum simulators.

© Peter Jurik - Adobe Stock

PRECISE-CRC: PREven­tion through Causal Infer­ence and Strat­i­fied Embed­dings in ColoRec­tal Cancer

Hector Fellow Bernhard Schölkopf
Hector RCD Awardee Carolin Schneider

PRECISE CRC is developing an embedding-based system that transforms heterogeneous lifestyle and healthcare data from biobanks into structured patient summaries using a context-specific large language model (LLM), embeds these into latent vectors, and identifies true causal risk factors for colorectal cancer using advanced causal methods to identify true causal risk factors for colorectal cancer.  

© 程 加星 - Adobe Stock

Model­ling extra­cel­lu­lar matrix of human adult brain injury for repair

Meriam Ernez - Hector RCD Magdalena Götz

Brain injury and neurodegeneration cause irreversible neuron loss. This project models the adult human brain injury environment by decellularizing adult human brain tissue from patients and characterizing its extracellular matrix (ECM). Neuronal replacement strategies will be tested, including transplantation of human iPSC-derived neurons and reprogramming of iPSC-derived or adult astrocytes isolated from resection material, to define conditions that support neuronal replacement across diseases and ages.

© Meriam Ernez

Random Tessel­la­tions on Hyper­bolic Space

Nat Kendal-Freedman - Hector Fellow Anna Wienhard

Tessellations divide a space similarly to how the tiles of a mosaic divide a picture. Studying the individual tiles and the patterns they form provides a way of analyzing both real-world phenomena like microstructures and mathematical objects like metric spaces. In this project, we study random tessellations on hyperbolic space, with the goal of better understanding a surprising connection between probability, geometry, and algebra.

© Poisson-Voronoi-Tessellation from [BCP22]

Defin­ing novel resilience pathways in rare monogenic disorders

Daniel Petersheim - Hector Fellow Christoph Klein

In the EU alone, approximately 30 million people are affected by a rare disease, many of them children. Most of the 6,000 to 8,000 rare diseases known to date are caused by the altered function of a single gene (Boycott&Ardigó, 2018). This project under the supervision of Prof. Christoph Klein aims to develop innovative strategies for precision medicine in rare diseases by (i) re-wiring aberrant molecular networks for therapeutic purposes and (ii) identifying novel “druggable” targets using CRISPR-Cas9-mediated genome-wide screens.

© Daniel Petersheim