Expert Analytics is a Norwegian consultancy offering high-quality technology solutions to both domestic and international customers.
Our experts have years of hands on experience in the natural sciences, which translates into an ability to analyse and solve complex challenges. For the client, it guarantees that our solutions will meet their needs and beyond.
We offer services within the following fields:
- Data analysis
- Numerical programming
- Machine learning
- General software development, such as applications, web, libraries, integrations, scripting, etc.
- Advisory services within ICT
Eivind Storm Aarnæs
I have a masters degree in Computational Science from the University of Oslo, completed in 2016. My project investigated a particle system modeling linear elasticity, and accelerating linear algebra computations using GPUs. From my studies leading to this degree I have gained broad knowledge about algorithms, numerical mathematics, and programming in several languages.
I am an expert scientific programmer with a PhD in computational science and more than a decade of software engineering experience from research and industry. This combination of a solid educational background in mathematics and computer science, research and supervision experience, and lots of practical software engineering experience allows me to tackle most development problems as a team player or independently if need be.
Vinzenz Gregor Eck
I am a curious, pragmatic, creative problem solver.
I hold a PhD in biomechanical engineering, focusing on stochastic simulations of the blood flow in the human arterial system.This interdisciplinary work included working within engineering, medicine, biology, software development and statistics.
My educational background is in mechanical engineering, with focus on numerical methods and bio-materials. Beside my studies, I worked in several different fields such as virtual commissioning, petroleum research, biomechanics research. My educational and work experience gave me strong analytic skills, the ability to see problems from different angles and strengthened my communications skills.
In the last years I was mainly programming in Python, which I have used to write a comprehensive simulation software. I am also familiar with other languages, like C and C++, and can easily adapt beyond this.
I hold a Ph.D. in mathematics from the University of Oslo with focus on statistics, probability and uncertainty quantification. My research interest include anything related to Bayesian theory/statistics, geo-statistics, graphical information system, machine learning, and building command line parsers.
I have much experience as a software developer from Simula Research Laboratory, Norway's highest ranked ICT research institution, My programming skills include an extensive knowledge of Python. This include Numpy/Scipy, Scikit-learn, Pandas, and Keras to name some of the libraries I am experienced with. I am also familiar with other languages, like C++, Matlab, R, Bash and VimL, and can easily adapt beyond this.
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I submitted my master's thesis in Computational Physics at the University of Oslo in 2018. The subject of my thesis was Monte Carlo simulations of quantum dots constrained to different different potential wells. For my thesis I developed software in C++ and Python, but I have experience with C and Java as well. My education has given me experience in solving complex physical and mathematical problems using various numerical methods and libraries. This has made me an experienced programmer and I am good at adapting to new systems as well as learning new programming languages.
In addition to my physics background I am finishing a bachelor's degree in Applied Mathematics with Informatics at the University of Oslo. During my thesis I worked part-time with IT support at the Physics Department at the University of Oslo and taught science to children at the Forskerfabrikken summer school.
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I hold a masters degree in applied mathematics from the University of Oslo and Simula Research Labratory, finished in 2017. In my thesis I built a Fluid-Structure Interaction solver with Python using the FEniCS platform. This also included working with supercomputers parallelizing the computational efforts. During my studies I gained knowledge in algorithms, numerical computing and programming in different languages.
After graduating I worked for Shortcut AS, an app-development company, developing iOS apps and working with Splunk for monitoring and
analyzing machine-generated big data. I have also taken courses and attended conferences on AI/Machine Learning, learning neural networks using Tensorflow, Keras, scikit-learn.
Apart from that I am highly adaptable to any situation and can quickly learn new languages and frameworks.
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I am a curious person with an interest and enthusiasm for technology and problem solving. My academic background is focused around applied mathematics, programming, and physics. I submitted my master’s thesis the summer 2017 in the field of Computational Science and Engineering at the University of Oslo / Simula. In my work I performed numerical simulations of micro-particles inhaled into the human respiratory system. This involved writing Python scripts as well as modifying and working with open-source libraries, in addition to data analysis and supercomputer simulations.
While working at Expert Analytics, I have had the opportunity to continue develop my programming skills in Python and Go, and dive into exciting topics such as machine learning and web programming.
I hold a PhD in Astrophysics from 2009 with focus on data mining, statistical data analysis and signal processing. Since graduating I have been working on a broad range of research subjects and implemented various methods including big data analysis, Monte Carlo Markov Chain sampling, and statistical model selection. I am a creative and experienced project leader and team player with strong analytical skills. I like to challenge myself and consider myself motivated and proactive with well-proven organisational capabilities. I have been leading several international collaborations, with my responsibilities including grant management, student supervision and mentoring, delegation of tasks and coordinating input from teams with very different locations and cultures. This has lead to robust scientific results and timely publications in high impact peer reviewd journals.
Jakob Emil Schreiner
I submitted my master's degree in Computational Science and Engineering at the University of Oslo in 2016. My educational background is in mathematics and computational science applied on mechanical problems using numerical methods. This has fuelled my interest for science and technology. I have mainly used Python and have substantial experience using numerical libraries such as Numpy/Scipy and FEniCS. I am also familiar with C/C++ and Java. My experience include teaching introductory Python at the University of Oslo, mostly in one-to-one settings.
Before joining Expert Analytics I was engaged as a Research Engineer at Simula Research Laboratory. In my thesis I simulated the cerebrospinal fluid flow in patient specific geometries. I solved partial differential equations with the finite element method using supercomputers, both in my master's thesis and during my work at Simula. Through my education and work I have gained significant experience with numerical simulations and mathematical modelling, as well as problem solving in general.
I am an experienced software developer, researcher, and project leader with a PhD in scientific programming. My main areas of technical expertise are mathematical and numerical software development, algorithm development, advanced scripting with modern scripting languages, parallel programming, software testing and deployment, library design, systems programming and scientific visualization.
Through my work, I have obtained an extensive set of skills that allows me to understand and solve challenges in collaboration with customers. Today's industrial challenges are generally multidisciplinary, and require communication across disciplines to successfully deliver good solutions.
The last few years I have been working in the renewable energy sector in Norway. Among other projects in this field I have been a main developer of SHyFT for doing distributed hydrological modelling and forecasting.
I am a senior software developer, project leader, and researcher, with more than 20 years of professional experience. After spending 13 years at Simula Research Laboratory, Norway’s top-ranked ICT research institution, I founded Expert Analytics in 2013, together with Ola Skavhaug.
Through various positions in my career, I have obtained a broad set of technical and management skills, which I now put to good use as both Managing Director and a Senior Consultant in Expert Analytics. My main areas of technical expertise spans from advanced mathematical software development through web programming to scripting, and from administration of advanced ICT solutions and configuration management to operational work. Both through education and practical hands-on experience I have developed strong analytical skills within my fields of expertise. I hold a PhD in Scientific Computing and a MSc in applied mathematics.