Dr. Kevin Nagel

Provide consultancy services to global financial companies, including: (1) integration of ML solution into fraud prevention businesses, (2) proof of concept/value studies on a variety of business applications, (3) workshop and talks on machine learning for fraud prevention in the financial industry, (4) project management in several customer projects.

Provided consultancy services to global agricultural companies, for example: 1) user training in image processing, 2) workshop on phenomics and IT skills, 3) development and optimisation of plant trait screening processes, and 4) feasibility studies

(1) Investigated in several feature selection techniques to identify descriptive determinants in genotype data that correlate with neutralisation sensitivity phenotype, (2) Combined and evaluated bioinformatics techniques to build pattern recognition systems (filter, wrapper, and embedded methods) including feature relevance metrics, support vector machine, genetic algorithms, and string kernel methods.

(1) Developed structural data mining method to identify novel functional sites in proteins; (2) developed text mining system to extract biomolecular events/relations from literature.

(1) Reviewed and planned conceptional and software strategies for the development of a novel technique for de novo design of proteins; (2) developed a software platform for sequence-structure validation analysis to study modelled protein structures based on a peptide structure database.

(1) Established and improved confocal microscopy combined with GFP-technology: FRAP, FRET, FLIP and FLAP; (2) investigated signal-transduction events in living cells.

Biomedical Literature Mining, Data Integration, Protein Structure Data Mining, and Bioinformatics.

Bioinformatics, Statistics, Macromolecular Modelling, Analytical Science.