Heidelberg
Institute for
Theoretical
Studies
Think beyond the limits!
The Heidelberg Institute for Theoretical Studies was established 2010 by SAP co-founder Klaus Tschira (1940-2015) and the Klaus Tschira foundation as a private, non-profit research institute.
HITS conducts basic research in the natural sciences, mathematics and computer science with a focus on the processing, structuring, and analyzing of large amounts of complex data and the development of computational methods and software. The research fields range from molecular biology to astrophysics.
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The best of both worlds
KIMMDY is born! A new simulation scheme combining Molecular Dynamics (MD) simulations with Kinetic Monte Carlo (KMC) enables bond scissions in …
The way of making memories
Human beings live and learn and this usually happens through experience and environmental interactions. But how does the brain translate information …
Data visualization with SABIO-VIS
Collecting and curating data has never been more important – especially for systems biology. If already existing data isn’t available to …
Andreas Reuter appointed 2019 ACM Fellow
Andreas Reuter, former Managing Director of HITS, has been named as “2019 ACM Fellow” by the Association for Computing Machinery (ACM). He …
Distinction for Anna Wienhard
Anna Wienhard, group leader at HITS and professor at the Mathematical Institute of Heidelberg University, has been elected ordinary member of …
HITS researcher Michael Strube is Fellow of the ACL
Michael Strube, leader of the Natural Language Processing group at the Heidelberg Institute for Theoretical Studies (HITS), has been appointed Fellow …
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.
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.
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.
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.