Our experts
Behind DataCatalyst Öresund is a multidisciplinary team of experts from Lund University (CIPA/InfraVis) and DTU (QIM). Whether your challenge involves imaging data, machine learning, visualization, predictive modelling or advanced analytics, we help organisations unlock the value of their data and accelerate innovation.
Note: If the expertise you need is available at another InfraVis node, please let us know, and we will do our best to involve the relevant experts.
Filter by expertise
Emanuel Larsson
Emanuel helps organisations extract value from complex X-ray and neutron imaging data, from image reconstruction to analysis and visualization.
How he can help
- Quantify structures hidden inside materials and products
- Analyse 3D imaging and tomography data
- Improve quality control and product development
- Transform complex imaging datasets into actionable insights
- Design end-to-end workflows for image-based innovation
Alexandros Sopasakis
Alexandros develops machine learning solutions for image analysis, forecasting and anomaly detection, particularly when working with large and complex datasets.
How he can help
- Predict trends and future outcomes from data
- Automate image and object recognition
- Detect anomalies and hidden patterns
- Analyse time-series data
- Develop AI-powered decision support tools
Carl Troein
Carl develops graphical applications for analysing and visualizing data from spectroscopic imaging and other sources.
How he can help
- Create custom analytical tools and graphical user interfaces
- Analyse complex spectral datasets
- Classify materials and biological samples
- Develop machine learning workflows
- Create custom analytical tools and interfaces
- Turn advanced measurements into decision-making support
Calley Eads
Calley combines spectroscopy and advanced data analysis to understand the composition and behaviour of materials at microscopic scales.
How she can help
- Characterise materials and biological samples
- Analyse complex spectroscopy datasets
- Develop reproducible analysis workflows
- Interpret chemical and structural information
- Support advanced materials and life science research
Donglin Liu
Donglin develops advanced AI models for image analysis, quantitative assessment and predictive modelling.
How he can help
- Automate image segmentation and detection
- Build predictive models from time-series data
- Develop AI solutions for datasets
- Generate synthetic datasets for testing and development
- Support data-driven decision making
Carl-Johan Hörberg
Carl-Johan develops tools and 3D visual solutions that make complex datasets easier to explore and understand.
How he can help
- Analyse 3D image and volume data
- Build interactive visualizations
- Develop graphical interfaces and tools
- Create scientific illustrations and presentations
Jonas Ahlstedt
Jonas specialises in helping users understand and communicate complex data through image analysis, 3D modelling and advanced visualization.
How he can help
- Analyse microscopy and medical imaging data
- Extract quantitative information from images
- Create advanced 3D visualizations
- Develop VR and AR representations of data
- Communicate complex results to stakeholders and customers
Linda Hartman
Linda develops statistical models and data analysis solutions for inference, prediction and decision support in complex and data-rich environments.
How she can help
- Analyse complex tabular data and create interactive visualizations
- Identify patterns, relationships and key drivers in data
- Develop statistical models for prediction and inference, including Bayesian methods and machine learning techniques
- Quantify uncertainty and assess the robustness of results
- Support data-driven decision-making with clear statistical insights
- Provide training and guidance in statistical methods and data analysis