Summary
I am Peyman Kor - a Data Scientist and Machine Learning/AI Researcher.
Originally from Bandar Torkaman in northern Iran, I’m now based in Norway, completing my Ph.D. in Reinforcement Learning.
My doctoral work test focuses on Reinforcement Learning, investigating both classical approaches like Q-learning and innovative applications such as RL for LLMs Reinforcement Learning from Human Feedback.
Prior to my PhD, as a Data Scientist, I was part of a successful industry collaboration project focused on optimizing, resulting in developing an innovative Bayesian Optimization workflow.
Previously, I studied at the Technical University of Denmark and worked on diverse computational projects. In addition, I hold an M.Sc in Engineering from the University of Stavanger, specializing developing practical ML solutions for real-world problems.
I’m actively engaged on GitHub and regularly share findings through my blog.
Experience
NORCE & UiS
• Developed novel machine learning model for production optimization in subsurface applications
• Designed and tested algorithms for probabilistic modeling, improving computational efficiency by 500%
• Collaborated with stakeholders from eight Norwegian energy companies, ensuring seamless integration of analytical insights into decision-making
Decarbonify
AKER BP
• Developed a probabilistic reserve estimate dashboard tool using R Shiny/RStudio to provide real-time data-driven insights for decision-making
• Analyzed over 10,000 scenarios using Monte Carlo Simulations, allowing data-driven decision-making and improved risk assessment
Education
University of Stavanger
Technical University of Denmark
University of Stavanger
