Rate My Professor Trine Krogh Boomsma

Trine Krogh Boomsma is a Professor of Operations Research at the Department of Mathematical Sciences, University of Copenhagen, a position she assumed on January 1, 2025, following her role as Associate Professor there since January 2012. She obtained her PhD in Mathematics-Economics from Aarhus University in 2007, with a dissertation titled "Stochastic Programming with Applications to Power Systems." During her doctoral studies, she conducted a visiting PhD stint at the Faculty of Mathematics, University of Duisburg-Essen, from January to April 2004. Earlier in her career, Boomsma held several positions at Risø National Laboratory (affiliated with the Technical University of Denmark), including Senior Scientist from July 2010 to December 2012, Scientist and Postdoctoral Researcher from 2007 to 2010, and Research Assistant in 2007. She also served as a Visiting Postdoctoral Researcher at the Centre for Quantitative Finance, Imperial College Business School, London, from July 2009 to June 2010.

Boomsma's research focuses on operations research methodologies, particularly stochastic programming—including two- and multi-stage models, scenario generation and reduction—real options analysis, dynamic programming, and game theory, applied to sustainable power systems and electricity markets. Her work addresses renewable energy integration, power generation operations and investments under uncertainty, market bidding strategies, and electric vehicle charging. Key publications include "Renewable energy investments under different support schemes: A real options approach" (European Journal of Operational Research, 2012), which received the 2015 EURO Award for the Best EJOR Paper in Innovative Applications; "Optimal charging of electric drive vehicles in a market environment" (Applied Energy, 2011); "Bidding in sequential electricity markets: The Nordic case" (European Journal of Operational Research, 2014); and "Market and policy risk under different renewable electricity support schemes" (Energy, 2015). With 2,659 citations on Google Scholar, her research has advanced stochastic optimization applications in energy systems.