Team
Our consultants have a broad experience in academia and industry.
A Team of Experts
The team of Expert Analytics is diverse, with members from several nationalities who are curious by nature. We love science and solving complex problems. Learn more about our dedicated team of experts.
Ada Ortiz-Carbonell.
Ada, Director of Oil & Gas and consultant at Expert Analytics, has 20 years of experience in Astrophysics, teaching, mentoring, leading research projects, and organizing conferences.
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Passionate about outreach, she has published books, delivered lectures, appeared in media, and mentors young researchers through REBECA EU and Spanish Scientists in Norway.
Now in industry, Ada excels at solving complex problems and delivering clear insights to customers.
Alexander Fleischer.
Alexander is a senior software developer specializing in backend and system development in Python. His experience with Python dates back to 2010, and he has been working professionally with system development in Python since 2018.
During his career, he has worked in several platform and product teams in both the public transport sector and the energy sector. Alexander holds a master’s thesis in computational quantum physics from the University of Oslo.
Alocias Mariadason.
Alocias has a master’s degree in physics from the University of Oslo, submitted in spring 2018. The subject of the thesis was Quantum Monte Carlo Simulations of Quantum dots constrained in single- and double well potentials.
He solved the numerical problem for both systems with new analytic expressions which had not been explicitly done before and a newer method with roots in machine learning to further improve upon the results.
Ana Budiša.
Ana holds a PhD in applied mathematics from University of Bergen and has worked as a postdoctoral researcher at Simula Research Lab in Norway.
Her expertise lies in computational modeling, and algorithm design and implementation to solve large-scale problems in biomechanics and geophysics.
Ana is an eager and challenge-driven person with strong interest in software development, scientific computing and machine learning.
Ata Karakci.
Ata holds a PhD in physics with specialisation in astrophysics which he obtained from Brown University in 2014.
Before joining the Expert Analytics team, he has worked as a postdoctoral researcher at the University of Oslo and Universite Paris VII.
His expertise includes statistical analysis of large data sets, numerical modelling, signal processing, imaging, and programming.
Christian Pedersen.
Christian holds a PhD in fluid mechanics from the University of Oslo, where he also worked as a postdoctoral researcher.
His expertise includes mathematical modeling, numerical methods and programming.
Christian enjoys working in interdisciplinary environments and applying this knowledge to contribute to real-world solutions
Daniel Marelius Bjørnstad.
Daniel is an experienced data architect with a PhD in neuroscience, specialising in data platforms for large organisations. He has a background with 6 years as a data scientist in academia with publications in Nature Communications and since 2022 he has worked in various cloud engineer and architect roles.
With expertise in multiple stages of project development, Daniel’s work spans from the initial definition of project goals and value propositions to the deployment of final products and services. He has hands-on experience with cloud data pipelines, event-driven architecture, API design, database design, infrastructure as code (IaC), deployment environments, release management, CI/CD, version control of data, ML model development, MLOps system design, user management systems, dashboards and documentation.
Diako Darian.
Diako holds a Ph.D. in Computational Mathematics from the University of Oslo.
As a student at both Mathematics and Physics departments at the University of Oslo, he has acquired a broad knowledge in various physical and mathematical theories, and numerical methods.
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Through his education, Diako has developed strong analytical and numerical skills to solve complex problems related to phenomena arising in the natural world.
Dylan Britt.
Dylan has a PhD in physics from Stanford University. His background is in computational astrophysics and cosmology, and his thesis focused on developing new statistical methods for analyzing data from large galaxy surveys.
Some of his main interests include statistical inference, machine learning, and data science more broadly. He has experience developing scientific software in Python and C/C++ and has used high-performance computing methods to accelerate analyses of large datasets.
Dylan also has a research background in neuroscience and enjoys the challenge of adapting to new fields and acquiring new technical skills.
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.
Eleonora Piersanti.
Eleonora obtained her PhD degree in applied mathematics from the University of Oslo and Simula Research Laboratory (Oslo, Norway) in 2023, and her Master’s degree in Aeronautical engineering from Politecnico di Milano in 2015.
During her doctoral studies, she developed efficient solvers and robust formulations for poroelasticity equations applied to model brain displacements and fluid flow. From 2019 to 2023, Eleonora worked as a research and development engineer at FLIR Unmanned Aerial Systems AS (Hvalstad, Norway).
In that role, she focused on improving the aerodynamical performances of drones using both numerical models and practical experiments.
Francesco Pogliano.
Francesco holds a PhD in experimental nuclear astrophysics from the University of Oslo, where he also continued as a postdoc before joining Expert Analytics.
The subject of his PhD thesis was the extraction of nuclear properties from experimental data, and their use in astrophysical settings, such as the origin of heavy elements.
He acquired expertise in nuclear physics and astrophysics, but also Python programming, statistics, experiment planning and data analysis. He likes solving complex problems, developing algorithms, and has keen interest in visualizing and presenting data.
Gry Merete Tveten.
Gry has six years of experience in the power industry as an IT developer, tech lead, and analyst, as well as more than ten years of experience as a researcher in nuclear physics.
She has strong technical expertise in leveraging data to realize value in the power sector and in facilitating interdisciplinary collaboration across departments. With experience both as a provider of technical solutions and as an analyst, she has a broad understanding of the power and energy industry’s needs.
She is efficient, pragmatic, and solution-oriented. She is responsible for innovation at Expert Analytics and delivering solutions to the energy sector.
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.
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He submitted his master’s thesis the summer 2017 in the field of Computational Science and Engineering at the University of Oslo / Simula.
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.
Halvor Herlyng.
Halvor holds a MSc in Mechanical Engineering. He has three years experience as a PhD student in physics, where he developed computational models of fluid mechanics and electrochemical activity in the brain.
With a background in applied mathematics and computational physics, Halvor has developed analytical and programming skills
that he enjoys applying to real-world problems.
He is a versatile problem solver who can handle all levels of a tech stack, with expertise that mainly lies with mathematical modeling and scientific computing, data analysis and backend development.
Jakob Schreiner.
Jakob holds a Ph.D. in computational mathematics from the University of Oslo, where he studied mathematical models of electrical activity in the brain.
He also developed computer models running on high-performance computers produces large amounts of data. Jakob is a pragmatic programmer who takes pride in building robust, clean and easy-to-maintain software solutions.
Since being awarded his Ph.D, Jakob has built and maintained energy-market models in the renewable power sector.
John M. Aiken.
John is a computational scientist who has experience across disciplines in using machine learning, statistics, software development to reach solutions.
John has worked on a variety of problems and enjoys learning new topics and new technology that connect across disciplines. At Expert Analytics John works on problems related to global scale spatio-temporal modeling and CO2 sequestration.
John also is affiliated as Researcher at the University of Oslo in the Njord Centre for Studies of the Physics of the Earth.
Kate Heerema.
Kate holds a PhD in Marine Geology from Durham University and completed a post-doc at the University of Victoria. With a background in Earth Sciences, she specializes in big data analysis, visualization, and fieldwork planning.
She has extensive experience with geophysical data, instrument deployment, and data acquisition across various methods. Passionate about problem-solving, she combines strong analytical thinking with collaboration and communication skills.
Her expertise spans the full pipeline from fieldwork design to big data analysis and advanced geodata visualisation, drawing from her work with Acoustic Doppler Current Profilers, Ground Penetrating Radar, and sediment analysis.
Kent-Andre Mardal.
Kent-Andre is a Professor of Applied Mathematics at the University of Oslo. He has extensive experience with computational modeling, multi-physics simulations, high-performance computing, and scientific software development (Python and C++).
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Kent-Andre is experienced in multidisciplinary collaborations where advanced computational techniques are developed to solve real-life problems, in particular in the medicine.
In XAL, he brings a broad experience in inter-disciplinary work as well as technical experience in scientific computing involving big data.
Kine Onsum Moseid.
Kine is an organized scientific programmer that likes to solve problems from a big picture approach. She submitted her PhD thesis in Climate Science in December of 2021, and during her doctorate she analyzed radiation and air pollution data from a multitude of climate model simulations and compared them with observations.
This work gave insight in big data analytics and visualisation, especially regarding time series and how to avoid common pitfalls like comparing apples and oranges.
She enjoys working with large datasets, learning new things, and communicating/teaching science.
Kristine Sønstevold Beckmann.
Kristine has a Master’s degree and three years experience as a PhD-student in Nuclear Physics.
She has accumulated extensive practice with statistical analysis of sensor data and problem solving using programming tools such as Python and C++.
Kristine has performed analyses consisting of handling raw data, performing calibrations, doing time series analysis, statistical fitting of peak distributions and doing model simulations in order to compare to experimental data.
Marco Nava.
Marco holds a Ph.D in computational Condensed Matter Physics, with a strong focus on quantum and classical atomistic simulation methods.
Throughout his decade-long career he has worked on both software development - mainly in C++ and Python - and research intensive projects across several research fields ranging from low-temperature physics to computational chemistry and biophysics.
This experience, along with his robust mathematical and coding background, allows him to be a broad and thorough problem solver, well capable of working both independently and as a team member.
Marthe Grønlie Guren.
Marthe holds a PhD in Geophysics from the University of Oslo, where she also continued as a postdoctoral researcher before joining Expert Analytics.
She has an interdisciplinary track record of integrating advanced computational methods across geosciences, physics and chemistry.
Her expertise lies in developing data-driven simulations and machine learning models to study geological processes, including carbon capture and storage.
Mats Brun.
Mats has a PhD (2019) in applied and computational mathematics (University of Bergen, Bergen, Norway), in addition to a postdoctoral experience in biomathematics at the University of Oslo, Oslo, Norway (2020-2021). He has experience and interest in biomathematics, fluid mechanics, flow in porous media, heat transfer, solid mechanics, coupled systems, among others.
Moreover, he has programming experience in Python, Java, Matlab and Haskell. Mats is an analytical and creative problem solver, whose expertise relies on diverse experience with mathematical modeling and numerical programming, with applications ranging from geothermal energy storage to evolutionary biology, in addition to several teaching experiences.
Niklas Bøe.
Niklas is an innovative engineer with a strong foundation in business development, product innovation, and automation.
With a passion for creating impactful solutions, he excels at improving existing processes and solving complex challenges through technology and sustainable design.
Holding an M.Sc. in Sustainability, Entrepreneurship, and Technology from the University of Vienna and a B.Sc. in Computer Science and Automation from the University of South-Eastern Norway, Niklas brings a versatile and hands-on approach to developing products and services that drive change and growth.
Ola Skavhaug.
Ola is the CEO of Expert Analytics.
He has a PhD in scientific computing and is an expert software developer with decades of experience in industry and academia.
He is particularly interested in mathematical and numerical software development, algorithm development, high-performance computing, and scientific visualization.
Petter Taule.
Petter holds a PhD in physics with specialization in theoretical cosmology from the Technical University of Munich in 2022.
Before joining Expert Analytics in 2025, he worked as a postdoctoral researcher at Paris-Saclay University.He has worked on modeling the Universe on large scales to test fundamental physics using ESA/NASA cosmological datasets.
Petter's expertise lies in statistical data analysis and high-performance computing using Python and C++.
Redza Rosli.
Data Engineer, Data Scientist, Software Engineer, and Consultant with expertise in digitalization, data engineering, and AI-driven solutions for the heavy-asset industry.
Experienced in designing scalable data pipelines, developing AI-based automation tools, and optimizing industrial data infrastructure. Strong technical background in Python, SQL, cloud platforms (Azure and GCP), and agent-based AI frameworks.
Proven ability to drive digital transformation through data onboarding, process optimization, and AI-based feature development.
Ricardo Vasconcellos Soares.
Ricardo holds a PhD in applied mathematics from the University of Bergen and NORCE Norwegian Research Institute.
With a strong foundation in theoretical and applied sciences, he has been a consultant since 2020, working in both public and private sectors. Ricardo’s skill set includes roles as a data analyst, data scientist, and developer.
One of Ricardo’s key strengths is his expertise in Python and cloud computing, particularly in the Azure ecosystem.
Roar Emaus.
Roar has a master’s degree in High Energy Physics from the University of Oslo, completed in 2018.
In his thesis he studied two different models of particle production at high energies, one statistical using the thermodynamical equations and one using the properties of a theoretical particle called Pomeron.
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He also has a practical background working as an electrician. All through his studies he worked with C, C++ and Python, but is adaptable to new systems and languages.
Sigmund Slang.
Sigmund submitted his masters’s degree in Geophysics and Seismology at the University of Oslo in 2019.
The subject of the thesis was Attenuation of Seismic Interference Noise using Convolutional Neural Networks and was written in collaboration with CGG Services AS.
This work gave insight in the fields of machine learning and seismic signal processing.
Therese Renstrøm.
Therese holds a Ph.D. in Experimental Nuclear Physics from the University of Oslo.
Her thesis was awarded the YARA Birkeland Prize for outstanding contributions to innovation and industry.
Her main fields of expertise are developing real-time analytics tools and implementing machine learning and statistical models.
The past years, she has developed prototypes and set into production software tools for the petroleum-, processing- and medical industry.
Thomas Golding.
Thomas is interested in bringing to life the potential of data for automation and insight purposes. He will happily engage in the various steps of the process, from analysis and machine learning to data collection and software development.
Thomas holds a PhD in astrophysics for developing and studying models of the solar atmosphere. After finishing the PhD he worked as an analyst in the public sector. Here he took part in the business intelligence process as well as data analyses, data modeling and system architecting.
Thomas also completed the two year leadership development program Teach First Norway.
Thomas Zengaffinen-Morris.
Thomas submitted his PhD thesis in Applied Mathematics in November 2020 to the University of Oslo, with supervision from NGI Oslo. His thesis deals with the effect of submarine landslide failure and flow on tsunami genesis. This topic gave him valuable insights into the complexity of this natural disaster. Through numerical modelling, he developed strong scripting skills in Python and Bash.
His Master education at ETH Zurich, with Major in Geophysics, let Thomas understand processes and structures of the Earth’s interior. He was educated to obtain a solid understanding of mathematical, numerical, and physical methods within a range of geophysical disciplines such as seismology, geodynamics, and applied geophysics.