Founder, CEO • May, 2018 — Present

Developing an Artificial General Intelligence Engine allowing organizations to put Safe AI into their products via our AIaaS offering.

Blackwood Seven

Founder, CAO • Sep, 2013 — Present

Heading the development of the next generation Bayesian Artificial Intelligence engine for predictive cross-channel media analytics leveraging state of the art statistical science with a SaaS platform with the intent to improve the efficiency and transparency in the media market.


Founder • Jun, 2013 — Present

Bringing Artificial Intelligence and Machine learning into the decision making process for Businesses focusing on product pricing and portfolio optimizations.

Data Intelligence

CTO • Nov, 2009 — Oct, 2013

I managed a group of statistical analysts and data researchers. We worked with fact based marketing where we provided clients with strategic and tactical recommendations based on robust statistical models. These models were developed and deployed using R, Business Objects, and Microsoft BI tools.

  • Business Performance optimization
  • Churn minimization
  • Identifying sales drivers
  • Customer retention strategies
  • Price optimization
  • Portfolio optimization
  • ROI Analysis
  • Marketing mix modeling


Senior Business Intelligence Consultant • Aug, 2008 — Oct, 2009

I was helping out in the risk domain where I developed efficient Monte Carlo algorithms for the estimation of Value at Risk (VaR). Other than that I developed and maintained business intelligence reports for customers using SimCorp's product Dimension. This task mainly involved working with Crystal Reports. In another project I was working with streamlining a new technology for Dimension called Client Reporting which enables customers to deliver reports to their clients in a well structured manner.

I was also the Team Leader for the Reporting team in the Technical Deployment division. The team was responsible for the creation of business intelligence reports within domains such as risk, performance and general transactions reports. Other than that our activities involved implementation, education, best practice development, support and strategic development.


Lund University

Doctor of Philosophy (PhD), Theoretical Physics • 2004 — 2008

Graduated from Lund University, with the doctoral dissertation "Improving diagnosis of acute coronary syndromes in an emergency setting: A machine learning approach", in 2008. Received the Markussen award for young talented researchers.

Lund University

Master of Science (MSc), Computer Science • 2000 — 2004

Specialized in artificial intelligence for robots. In particular I participated in RoboCup 2003.


Statistical learning

Artificial Neural Networks, Deep Learning, Support Vector Machines, Generalized Linear Modeling, Bayesian Hierarchical Modeling

Programming & scripting

R, C++, Perl

SQL, Bash, HTML, Markdown, RMarkdown


Conflict resolution, Sparring, Situational leadership


LateX, Gimp, LibreOffice, MS Office, MS PowerBI

MariaDB, MySQL, MongoDB


Markussens scholarship

Talented young researcher award • 2008

Awarded for my research in Artificial Neural Networks.