Research at HITS
HITS conducts basic research in the natural sciences, mathematical, and computer science.
Major research directions include complex simulations across scales, making sense of data, and enabling science via computational research. Application areas range from molecular biology to astrophysics. An essential characteristic of the Institute is interdisciplinarity, implemented in numerous cross-group and cross-disciplinary projects. We also collaborate intensively with other research institutions, universities and industry partners.
HITS strives for a long-term research agenda with projects that show high potential for significant results. We focus on a small number of challenging research fields in which our research is curiosity-driven and unhindered by disciplinary barriers.
Furthermore, we aim to raise public awareness for the importance of science – especially data-driven science.
Insight into HITS
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Astroinformatics
The AIN group develops new methods and tools to deal with the exponentially increasing amount of data in astronomy.
Computational Carbon Chemistry
The CCC group uses state-of-the-art computational chemistry to explore and exploit diverse functional organic materials.
Computational Molecular Evolution
The CME group focuses on developing algorithms, computer architectures, and high-performance computing solutions for bioinformatics.
Computational Statistics
The CST group focuses on the theory and practice of forecasts as well as on spatial statistics.
Data Mining and Uncertainty Quantification
The DMQ group uses stochastic mathematical models, high-performance computing, and hardware-aware computing to quantify the impact of uncertainties in large data sets.
Groups and Geometry
The GRG group investigates various mathematical problems in the fields of geometry and topology, which involve the interplay between geometric spaces.
HITS Lab
The HITS Lab fosters collaboration across groups and disciplines emphasizing research across disciplinary boundaries.
Machine Learning and Artificial Intelligence
The MLI group – established at HITS in September 2022 – works on novel algorithms and models for data-efficient learning, geometric deep learning, and …
Molecular Biomechanics
The MBM group focuses on deciphering how proteins have been designed to specifically respond to mechanical forces in the cellular environment or as a biomaterial.
Molecular and Cellular Modeling
The MCM group focuses on the interactions of biomolecules. Research methods include interactive, web-based visualization tools and atomic-detail molecular simulations.
Natural Language Processing
The NLP group develops methods, algorithms, and tools for the automatic analysis of natural language.
Physics of Stellar Objects
The PSO group models thermonuclear explosions of white dwarf stars leading to the astronomical phenomenon of Type Ia supernovae.
Scientific Databases and Visualization
The SDBV group improves data storage and the search for life science data, making storage, search, and processing simple to use for domain experts who are not computer scientists.
Stellar Evolution Theory
The SET group seeks to investigate the turbulent and explosive lives of massive stars.
Theory and Observations of Stars
Stars are an important source of electromagnetic radiation in the universe allowing for studies of many phenomena, from distant galaxies to …
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