Climate AI Nordics

Climate AI Nordics

Nordic network for collaborations around tackling climate change using AI and machine learning.

Featured member, August 2025: Miki Verma

Hi Miki! Tell us about yourself and your work.

I’m the Lead Data Scientist at Rewiring America, the leading U.S. nonprofit dedicated to the electrification of American homes. My organization develops data-driven tools, research, policy, and narratives to help facilitate households’ transition from fossil-fuel-powered to efficient electric systems.

Last year, I led the development of our Residential Electrification Model—a free API that predicts the bill savings, emissions reductions, and energy impacts of various electrification upgrades at any U.S. address. Currently, one of the biggest challenges is that electricity demand on the U.S. grid is growing for the first time in decades (driven partly by data centers and AI), which is straining capacity and driving up costs. To address this, my team is building a tool to help policymakers design equitable and affordable electricity rate tariffs, and is developing a model to estimate the effect of Distributed Energy Resources (e.g., solar, batteries, load shifting) on reducing peak demand and expanding grid capacity.

Before joining Rewiring America, I earned my Master’s in Machine Learning & Data Science from Stanford and worked as a researcher at Oak Ridge National Lab on cyber-physical security. Last year, I moved to Gothenburg with my partner, who got a job at AI Sweden!

Any opportunities or collaborations you’re looking for at the moment?

Since I work remotely for a U.S. organization, I haven’t yet had many opportunities to engage with Sweden’s climate and research communities, but I’d love to start! Given my organization’s focus, I’m particularly interested in heat pumps and district heating, where Sweden has been a global leader. I’d be excited to figure out how to translate Swedish successes into actionable insights for the U.S. energy transition – it’s very inspiring!

Where can people reach you?

I’m available via email at miki@rewiringamerica.org.

You May Also Enjoy

Generative domain adaptation and foundation models for robust Earth observation

Event date:

Webinar with Georges Le Bellier, Conservatoire National des Arts et Métiers. Deep learning for remote sensing plays a crucial role in turning satellite and aerial imagery into dependable, real-world insights. However, Earth observation models must handle diverse environments, sensors, and conditions—such as clouds, seasonal shifts, and geographic differences—while still producing accurate results. In this talk, we explore two paths that lead to more robust and adaptable algorithms: generative domain adaptation and geospatial foundation models. First, I will introduce FlowEO, a generative approach of Unsupervised Domain Adaptation (UDA) for Earth observation, and show its high performance in UDA scenarios for several downstream tasks, including dense prediction and classification. This flow-matching-based translation method improves pretrained predictive models' accuracies in challenging scenarios such as post-disaster response and high cloud coverage cases with SAR-to-optical translation. FlowEO’s generative domain adaptation method is independent of the downstream task and does not require retraining the predictive model. Then, I will present “PANGAEA: A Global and Inclusive Benchmark for Geospatial Foundation Models“, a standardized evaluation protocol that covers a diverse set of datasets, dense prediction tasks, resolutions, sensor modalities, and temporalities. This benchmark includes comparison between geospatial foundation models but also with supervised baselines, namely U-Net and ViT, and highlights the strengths and weaknesses of GFMs. In addition, PANGAEA evaluates models’ accuracy in cases where labels are limited and questions the impact of multi-temporal data for GFMs.

ESA Phi-Lab Sweden Opening Event

Event date:

Welcome to the official opening of ESA Phi-Lab Sweden in Stockholm. The opening ceremony will take place on August 26, starting with a presentation of the Phi-Lab’s mission and thematic focus, followed by a symbolic ribbon-cutting ceremony. After a light lunch, the afternoon continues with a conference programme featuring inspiring presentations, forward-looking discussions, and a poster session for sharing contributions (pre-registration required). We welcome researchers, start-ups, industry players and the public sector to join this important step towards a future where Sweden plays an active role in shaping AI-driven space applications.

Norway launches six new AI research centers

Event date:

The Norwegian government has announced six new national research centers for artificial intelligence, backed by over NOK 1 billion over five years. While their main missions range from education to robotics, creativity, and decision-making, sustainability, ethics, and environmental responsibility are important themes in several. Many PhD positions on relevant topics will be announced in the coming year. The centers will be presented in a public online event on August 26.

Climate AI Nordics represented at AI+Environment Summit!

Published:

Francesca Larosa, PhD, core team member at Climate AI Nordics, will be a session panelist at AI + Environment Summit Zurich in October! Be sure to check out this exciting event and its great lineup of speakers!