I'm currently a PhD candidate in the department of Biomolecular Medicine at Imperial College London (UK) in Prof. Elaine Holmes lab, my co-supervisors are Prof. Jeremy Nicholson (Imperial College) and Johan Trygg (Umeå University).
My PhD research activities are in the area of Metabolite profiling, Chemometrics and Statistical Pattern Analysis, with a focus on development and application of statistical pattern recognition methods for the analysis of ‘Omics’ data in biology, e.g. transcriptomics, proteomics and metabonomics.
I have a general interest in supervised learning and statistical data analysis methods, with a focus on modeling of biological data. I'm particularly interested in methods and strategies for data integration and quantitative approaches to biological research in general.
Recent research activities include:
- Discriminant analysis
- Kernel based methods for pattern analysis
- Integrated modeling of data from multiple analytical platforms
- Modeling of short time series data sets
Other things I'm interested in:
- Statistical Experimental Design
- Automation and standardization of experimental biology including data analysis and representation of biological data
- Synthetic biology
- Open source / access to software and information
Department of Biomolecular Medicine
Division of Surgery, Oncology, Reproductive Biology and Anaesthetics (SORA)
Faculty of Medicine >br> Imperial College of Sciences, Technology and Medicine
Sir Alexander Fleming Building
London SW7 2AZ
mattias dot rantalainen at imperial dot ac dot uk