Projects
Institute of Computational Life Sciences
-
Eco Missions
Escape Rooms and Outdoor Missions are booming: Electronic scavenger hunts, foxtrails, geocaching, or mobile phone trails are a popular leisure activity among young families or young people. Our new "Eco Missions" offer is designed to do justice to these new leisure activities. In an eco mission, the various aspects ...
-
The Coffee Blockchain – From Field to Cup
-
Frequentist estimation of the evolutionary history of sequences with substitutions and indels
High throughput sequencing technologies have permitted a wide range of scientists to observe an astonishing molecular diversity across all domains of life. Since all observed molecular sequences area result of a long evolutionary history, most informative inferences can be made only when analysing genomic sequences ...
-
BISTOM - Bayesian Inference with Stochastic Models
In essentially all applied sciences, data-driven modeling heavily relies on a sound calibration of model parameters to measured data for making probabilistic predictions. Bayesian statistics is a consistent framework for parameter inference where knowledge about model parameters is expressed through probability ...
-
simCAT – a mobile aid to recombinant enzyme production and whole-cell biocatalysis using microorganisms
-
Simulation & Optimization needs HPC
The simulation and optimization is predestined for high performance computing (HPC). Many computing operations are necessary and huge amounts of data are being generated. The requirements have also increased in recent years as the models become more complex. In addition, simulation-based optimization needs a large ...
-
A cloud-based IoT approach for food safety and quality prediction
Safety and quality prediction are topical issues in food industry. We are developing a novel IoT approach in the framework of a collaboration with Genossenschaft Migros Zürich (GMZ), ZHAW (represented by the institutes IAS and ILGI) and Axino Solutions AG. The main goal of the project is to provide a robust, ...
-
Mobile tool for the evaluation of forest edges - Digital Transformation
The tried and tested forest edge key (Krüsi et al. 2017) is suitable for recording the initial condition and later monitoring the success of forest edge enhancements, as it provides reproducible results and is easy to use (Fuhrer et al. submitted). For this reason, this forest edge key is to be further developed ...
-
PhD Network in Data Science
Swissuniversities project to promote PhD programs at ZHAW in the field of Data Science.
-
Positive selection detection of genome from Ralstonia bacterium
-
What does the Swiss population eat?
MenuCH data will be analysed in order to assess cultural differences between language regions of Switzerland with respect to consumption, dietary patterns, and associated lifestyle factors. Differences in consumption of meat and meat products; milk and dairy; and beverages, will be compared to nutritional ...
-
Longitudinal progression of White Matter Hyperintensities (WMH)
According to the latest figures from Alzheimer Switzerland, there are currently 48,242 women and 15,711 men aged 85 years and older living with dementia in Switzerland. So-called White Matter Hyperintensities (WMH), which can be measured in MRI images of the brains white matter, are distinct biomarkers of dementia ...
-
Advanced Bayesian inference with stochastic hydrological models
With advanced numerical techniques, including Approximate Bayesian Computation (ABC), Hamiltonian Monte Carlo (HMC) and Machine Learning (ML), we want to push the limits of Bayesian inference with stochastic models. The focus of the application will be on the hydrological sciences.
-
Bio-SODA – Enabling Complex, Semantic Queries to Bioinformatics Databases through Intuitive Searching over Data (SNSF NRP 75 "Big Data")
One of the major promises of Big Data lies in the simultaneous mining of multiple sources of data. This is particularly important in life sciences, where different and complementary data are scattered across multiple resources. To overcome this issue, the use of RDF/semantic web technology is emerging, but querying ...
-
Infectiology++ - Germ Tracking
In this project, we develop a system for the detection and analysis of germ transmission chains in the University Hospital Zurich. The system is based on an expert system solution in combination with machine learning (reinforcement learning).
-
Exploring the silent fitness landscape
Since Darwin, natural selection has been recognized as one of major biological forces shaping genetic patterns in molecular data. Detecting selection on proteins has become an indispensible part of genome studies. Remarkably selection can act not only on proteins, but also on synonymous codons translating into the ...
-
Predicting investor behaviour in European bond markets through machine learning
ICMA Quarterly Report (11.7.2019), p.23: Predicting investor behaviour in European bond markets through machine learning The quant team of ESM is developing, in cooperation with the Zurich University of Applied Sciences, a machine-learning based application to predict investor demand for syndicated bond issuances. A ...
-
Discovering evolutionary innovations by assessing variation and natural selection in protein tandem repeats
Tandem repeats (TRs) are abundant in proteomes across all kingdoms of life. Having an impressive variety of sizes, structures and functions, TRs often offer enhanced binding properties and are associated with disease and immunity related functions. While mechanisms generating protein TRs are poorly understood, ...
-
Dayzzi - Next Generation: Neural Recommendation System
Recommendation systems are ubiquitous on digital platforms. However, many systems rely either on the availability of large amounts of data that allow for data-driven optimization (collaborative filtering), or they are rather simple and lack the possibility of intelligent recommendations. Especially in the fields of ...
-
European government bond dynamics and stability policies: taming contagion risks
From 2004 to 2015, the market perception of the sovereign risks of euro area government bonds experienced several different phases, reflected in a clear time structure of the correlation matrix between the yield changes. “Core” and “peripheral” bonds cluster in a bloc-like structure, but the correlations between the ...