HITS
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.
EU-STANDS4PM Start 2019
Accessible and shareable health information is crucial for good healthcare. Scientists of the Scientific Databases and Visualization group (SDBV) at HITS …
Force for activation
Tumor invasion and metastasis are major problems in the therapy of cancer patients. A team of researchers at the Heidelberg Institute …
Metabolic signaling as new concept for breast cancer risk estimation
HITS is partner of the international research consortium “MESI-STRAT” that explores the interplay of breast cancer metabolism and oncogenic signaling by …
Two Humboldt Fellows at HITS
Since 2012, HITS has been the host for eight fellows of the Humboldt foundation. This year, the institute was glad to welcome …
The COMBINE Meeting celebrates its 10th anniversary!
The “Computational Modeling in Biology” Network (COMBINE) was founded ten years ago as an initiative to coordinate the development of community …
HITS: Call for “Journalist in Residence” in 2020 and 2021
Are you an experienced science journalist? Would you like to delve into new areas of research and deepen your technical knowledge? …
COMBINE 2019 Meeting
Studio Villa Bosch
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.