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 on Reducing Resource Costs of Frontier AI by Identifying and Managing AI-Waste with Emil Njor at the Digital Tech Summit, 2026.
2026-10 Co-organising the Deep Dive Workshop on Resource-Aware & Constrained AI at D3A, 2026.
2026-09 Giving a talk on Assessing Sustainabaility in AI at the High Energy Physics Software Foundation Seminars. Join here!
2026-09 Presenting a webinar on Sustainable AI: what are the challenges and how do we overcome them? at the Center for AI, DMJX. Sign up here!
Recent Activities
2026-08 Paper accepted to ECCV, Limit Workshop, 2026! 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, Cetinje, Montenegro, and won the Best Poster Award!
2026-06 Presented our paper How Hyper-Datafication Impacts the Sustainability Costs in Frontier AI at the ACM Conference on Fairness, Accountability, and Transparency (FAccT) 2026, Montréal, Canada.
2026-06 Panelist in the UCPH panel on Love, Climate Crises, and AI at the Folkemødet (“The People’s Meeting”), Bornholm, Denmark.
2026-05 “On the Challenges in Assessing the Sustainability of AI.” Joint presentation with Raghav Selvan at AI and Sustainability Workshop by the Tech Policy Youth Committee, The National Center for AI in Society.
2026-05 Speaker at the P1 Workshop on Green AI.
2026-04 Paper accepted to ICML 2026! See preprint on arXiv: Stop Preaching and Start Practising Data Frugality for Responsible Development of AI.
2024-04 Invited speaker and panelist at the Sustainable AI in Practice event hosted by the Lund Stem Cell Center at Lund University.
2026-04 Paper accepted to FAccT 2026! See preprint on arXiv: How Hyper-Datafication Impacts the Sustainability Costs in Frontier AI.
2026-03 Co-organiser and moderator of the SAINTS’26 workshop; a half day workshop on Sustainable AI for Sciences.
2026-02 Guest-lecturing on “AI, Resource Use, and Sustainability” at Københavns Professionshøjskole.
2026-02 Attended the Machine Learning Summer School 2026, Melbourne, Australia.
2025-12 Interviewed by Kvinder i Fysik about my shift from Physics to Computer Science.