Genome / Genetics
Professor Klein is an expert in statistics, and her research has been successfully used in many interdisciplinary applications, including the fields of medicine, ecology, life sciences, and economics.
Her research interests cover those on Bayesian Computational Methods and Bayesian Deep Learning, which allow for uncertainty quantification and better interpretability in several model classes, but are also scalable to large data sets and highly-parameterized models.
Beyond that Prof. Klein also works in distributional regression models, which are particularly useful in analysing complete distributions of quantities of interest in the presence of complex associations with influential variables. These models also allow to model dynamics in space and time, thus relating her research to spatial statistics.
Furthermore, Prof. Klein works on general smoothing and shrinkage methods in the context of statistical and machine learning as well as on network analysis.
- Newsenselab: Transferbonus for analyses of migraine data
- Zalando: Master thesis on Bayesian models in e-commerce
- Deutsche Kreditbank AG
- Lufthansa Technik AG
- since 2021: Experiment (Volkswagenstiftung)
- 2019–2020: Transferbonus with Newsenselab (Humboldt Innovation GmbH)
- since 2019: Emmy Noether Research Group
Prof. Winter’s research is focused on animal behaviour, especially cognitive performance, e.g. learning ability, memory and their neurobiological foundation for foraging. He carries out behavioural assessments for mice and rats, mostly for preclinical research, to investigate decision-making processes in animals. Lab space is available, inter alia at the Berlin Mouse Clinic for Neurology and Psychiatry (BMC), one of the leading diagnostic institutions within the NeuroCure Cluster of Excellence. Prof. Winter and his team also advise on experimental design and develop automated equipment and systems for behavioural studies on rodents for external laboratories. Another area of his expertise is virtual reality for humans. Here Prof. Winter focuses on the development of a compact, mobile, and immersive virtual reality environment for a wide range of uses.
- Computer controlled sensor and actuator systems for manipulation and measuring of behaviour
- Modular software system for automated measuring of behaviour
- RFID technology
- Immersive 3D-virtual reality system with closed monitoring (octagon)
- Software for rapid implementation of specific VR-applications and interaction scenarios
- Planning and development of a system for automated diagnostics of parameters for motor skills after clinical surgery for a large international pharmaceutical group. 24h recording and measurement as operator independent system.
The research of Prof. Leser and his group is focused on all aspects of management, integration and analysis of heterogeneous, large and distributed data sets including natural language texts (text-mining and information extraction). This encompasses subjects such as data warehouses and ETL, graph databases, deep web and semantic web, machine learning, similarity search, scientific workflows, statistical methods of data analysis as well as methods for assessing and securing data quality. The team of Professor Leser conducts research in a variety of interdisciplinary projects, especially with colleagues from the life sciences covering the range from basic molecular biology to Systems Medicine.
Very good IT-facilities:
- several state-of-the-art parallel computer cluster (20-80 CPUs, 1 TB main memory)
- cluster with 60+ cores
- 50TB+ storage
- For an IT service provider: Consultancy and prototype development in the field of master data standardisation and integration
- For an IT-manufacturer: Development and valuation of algorithms for analysing data quality
- For an international pharmaceutical company: Consultancy and development of text-mining-procedures in biomarker development
- For a medium-sized biotech company: Joint system development (partly funded by the German Federal Ministry for Economic Affairs and Energy) in the field of human genotype changes evaluation