Available Data Scientists
Our team of PhD scientists leverage a variety of tools depending on the task at hand, including R development expertise. In addition to working with our team on specific projects, we can tailor engagements to meet your specific needs allowing our clients to drive initiatives and leverage our experts.
Preferred Programming languages: R, Python, Matlab, Mathematica, SQL, Java, Scala, C/C++
Areas of application: Spatial analysis, GIS, Cultural Algorithms, Neuroscience, Statistics, Mathematical Modeling, Systems Biology, Forensics, Credit Ratings, Credit Risk Modeling, Stochastic Systems, Simulations, Econometrics, Machine Learning, Network Analysis, Spectral Graph Theory, Semantic Technologies, Knowledge Representation, Social Network Analysis
Deep Programming, Neuroscience & Statistics
Mathematical modelling, Statistics, Python Focus on Systems Biology
Credit ratings – credit risk modelling; statistical and learning methods in finance; complex systems in economics Big data, Python & R
Deep expertise in DataScience with a specific focus on cultural heritage, Spatial analysis & GIS.
Neuroscience, Behavioral data, Statistics neuropsychological assessments for forensics
Stochastic systems, Simulations, Mathematica & R
Statistics, Econometric, R. Deep knowledge int he publishing sector.
Computer Engineering, Semantic technologies, Knowledge discovery, SQL.
Machine learning, Network analysis, Matlab, R & Spectral Graph Theory
Maria MS Mathematician; Expertise: Statistics, Predictive analytics, Matlab
Life scientist; Expertise: Biodiversity monitoring, Botany, GIS