About Us

Expert Analytics is a Norwegian consultancy offering high-quality technology solutions to both domestic and international customers. We are a spin-out from Simula Research Laboratory and are based in Oslo, Norway.

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:

Contact us for quotes and rates:

Our consultants

Åsmund Ødegård

Åsmund is 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, he founded Expert Analytics in 2013, together with Ola Skavhaug.

Through various positions in his career, he has obtained a broad set of technical and management skills, which he now put to good use as both Managing Director and a Senior Consultant in Expert Analytics. His 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 he has developed strong analytical skills within his fields of expertise. Åsmund holds a PhD in Scientific Computing and a MSc in applied mathematics.

Ola Skavhaug

Ola is an experienced software developer, researcher, and project leader with a PhD in scientific programming. His 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 his work, he has obtained an extensive set of skills that allows him 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 he has been working in the renewable energy sector in Norway. Among other projects in this field he has been a main developer of SHyFT for doing distributed hydrological modelling and forecasting.

Jonathan Feinberg

Jonathan holds a Ph.D. in mathematics from the University of Oslo with focus on statistics, probability and uncertainty quantification. His research interest include anything related to Bayesian theory/statistics, geo-statistics, graphical information system, machine learning, and building command line parsers.

Jonathan has much experience as a software developer from Simula Research Laboratory, Norway’s highest ranked ICT research institution, His programming skills include an extensive knowledge of Python. This includes Numpy/Scipy, Scikit-learn, Pandas, and Keras to name some of the libraries he has experience with. He is also familiar with other languages, like C++, Matlab, R, Bash and VimL, and can easily adapt beyond this.

He also has extensive experience as a teacher from institutions such as the University of Oslo, Smerud Medical Research, and House of Math.

Vinzenz Gregor Eck

Vinzenz is a curious, pragmatic, creative problem solver. He holds 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.

His educational background is in mechanical engineering, with focus on numerical methods and bio-materials. Beside his studies, he has worked in several different fields such as virtual commissioning, petroleum research, biomechanics research. His educational and work experience gives him strong analytic skills, the ability to see problems from different angles and has strengthened his communications skills.

In the last years he has mainly been programming in Python, which he has used to write a comprehensive simulation software. He is also familiar with other languages, like C and C++, and can easily adapt beyond this.

Eivind Storm Aarnæs

Eivind has a masters degree in Computational Science from the University of Oslo, completed in 2016. His project investigated a particle system modeling linear elasticity, and accelerating linear algebra computations using GPUs. From the studies leading to his degree he has gained broad knowledge about algorithms, numerical mathematics, and programming in several languages.

Prior work experience includes teaching programming: mostly one-to-one teaching in a lab setting, but also as lecturing and live coding in plenary settings. He has also worked with testing—both manual and automated, and with Android development and some minor Javascript development.

Jakob Schreiner

Jakob submitted his master’s degree in Computational Science and Engineering at the University of Oslo in 2016. His educational background is in mathematics and computational science applied on mechanical problems using numerical methods. This has fuelled his interest for science and technology. He has mainly used Python and has substantial experience using numerical libraries such as Numpy/Scipy and FEniCS. He is also familiar with C/C++ and Java. His experience includes teaching introductory Python at the University of Oslo, mostly in one-to-one settings.

Before joining Expert Analytics he was engaged as a Research Engineer at Simula Research Laboratory. In his thesis he simulated the cerebrospinal fluid flow in patient specific geometries. He solved partial differential equations with the finite element method using supercomputers, both in his master’s thesis and during his work at Simula. Through his education and work he has gained significant experience with numerical simulations and mathematical modelling, as well as problem solving in general.

Guttorm Kvaal

Guttorm is a curious person with an interest and enthusiasm for technology and problem solving. His academic background is focused around applied mathematics, programming, and physics. He submitted his master’s thesis the summer 2017 in the field of Computational Science and Engineering at the University of Oslo / Simula. In his work he 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, he has continued developing his programming skills in Python and Go, and has been diving into topics such as machine learning and web programming.

Martin Alnæs

Martin is 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 him to tackle most development problems as a team player or independently if need be.

He has worked on a wide range of software types including: web tools for scientific visualization using WebGL and JavaScript; embedded audio DSP programming in C; music sequencer software in C++; tools for diff and merge of Jupyter notebooks in Python; utilities for build and test systems in Python; high performance numerical computations in C++ and Fortran; mixed language API design for C++/Python libraries; automated C++ code generation tools with just in time compilation from Python; a declarative domain specific language and symbolic mathematics library for partial differential equations in Python; and software for solving partial differential equations and flow problems.

Alexander Fleischer

Alexander submitted his master’s thesis in Computational Physics at the University of Oslo in 2018. The subject of his thesis was Monte Carlo simulations of quantum dots constrained to different potential wells. For his thesis he developed software in C++ and Python, but he has experience with C and Java as well. His education has given him experience in solving complex physical and mathematical problems using various numerical methods and libraries. This has made him an experienced programmer and he is good at adapting to new systems as well as learning new programming languages.

In addition to his physics background he is finishing a bachelor’s degree in Applied Mathematics with Informatics at the University of Oslo. During his thesis he 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.

Sebastian Gjertsen

Sebastian holds a master’s degree in applied mathematics from the University of Oslo and Simula Research Laboratory, finished in 2017. In his thesis he built a Fluid-Structure Interaction solver with Python using the FEniCS platform. This also included working with supercomputers parallelizing the computational efforts. During his studies he gained knowledge in algorithms, numerical computing and programming in different languages.

After graduating he worked for Shortcut AS, an app-development company, developing iOS apps and working with Splunk for monitoring and analyzing machine-generated big data. He has also taken courses and attended conferences on AI/Machine Learning, learning neural networks using Tensorflow, Keras, scikit-learn.

Apart from that he is highly adaptable to any situation and can quickly learn new languages and frameworks.

Eigil Skjæveland

Eigil submitted his master’s thesis in computer science in 2017 after completing a bachelor’s degree in applied mathematics. In his thesis he studied the application of databases to identify higher-level semantics in event data. During his studies, he also taught Python to freshman science students and worked on a project building a real estate statistics portal for an economic analysis NGO.

Before joining us, Eigil worked at Bekk Consulting where he gained experience with enterprise Java and Kotlin development in a large governmental department.