About Me
I am a PhD student at the SAINTS Lab in the Department of Computer Science at the University of Copenhagen (UCPH). My work sits at the intersection of artificial intelligence (AI), data, and sustainability, with a focus on how AI systems can be designed to be environmentally sustainable. My research interests include data- and resource-efficient machine learning, examining how choices across the data and model lifecycle shape energy use, carbon emissions, and broader societal impact. I am supervised by Raghavendra Selvan and Erik Dam.
I hold a MSc degree in Computational Physics from the Niels Bohr Institute, UCPH, where I explored physics-informed machine learning as a way to reduce energy use and carbon emissions of machine learning models. My master’s thesis was supervised by Raghavendra Selvan and Jens Hesselbjerg Christensen.
Keywords: Sustainable, resource-efficient, frugal, and responsible AI and data practices.
Upcoming Activities
2026-11 Giving a joint talk with Emil Njor on Reducing Resource Costs of Frontier AI by Identifying and Managing AI-Waste at the Digital Tech Summit 2026 on 4/11.
2026-10 Giving a talk on Hyper-datafication and its Environmental, Social, and Economic Costs at the Brandenburgisches Zentrum für Medienwissenschaften, Potsdam, Germany, on 22/10.
2026-10 Co-organising the Deep Dive Workshop on Resource-Aware & Constrained AI at D3A 2026 on 8/10.
2026-09 Giving a talk on Assessing Sustainability in AI at the High Energy Physics Software Foundation Seminars on 30/9.
Recent Activities
2026-09 Interviewed by journalist Mette Holdbæk in the podcast Verden Forsøgt Forklaret about AI data workers, their working conditions, and hyper-datafication more broadly.
2026-09 Interviewed by Uniavisen: Forsker: »AI bliver aldrig en bæredygtig teknologi«.
2026-09 Presented a webinar on Bæredygtig AI: udfordringer og løsninger (in Danish) at the Center for AI, DMJX.
2026-08 Paper accepted to ECCV 2026, Limit Workshop! See preprint on arXiv: Performance-Carbon Trade-Offs across Architectural Biases in Shear Flow Forecasting.
2026-08 Attended the Eastern European Machine Learning Summer School 2026 in Cetinje, Montenegro, and won the Best Poster Award!
2026-06 Presented our paper How Hyper-Datafication Impacts the Sustainability Costs in Frontier AI at ACM FAccT 2026, Montréal, Canada.
2026-06 Panelist in the UCPH panel on Love, Climate Crises, and AI at Folkemødet 2026 (“The People’s Meeting”), Bornholm, Denmark.
2026-05 Speaker at the P1 Workshop on Green AI at the Pioneer Centre for AI.
2026-04 Paper accepted to ICML 2026! See preprint on arXiv: Stop Preaching and Start Practising Data Frugality for Responsible Development of AI.
2026-04 Invited speaker and panelist at Sustainable AI in Practice, hosted by the Lund Stem Cell Center, Lund University.
2026-03 Co-organiser and moderator of the SAINTS’26 workshop, a half-day workshop on Sustainable AI for Sciences.