
Project: Using Machine Learning for Calculating Construction Emissions
Ponsu Muthuraman ’26 evaluated the use of a machine learning tool to improve construction carbon emission estimation.
During Alumni Weekend, the Explore Energy House hosted over 50 alumni for a vital discussion on Stanford’s Climate Action Plan. This gathering wasn’t just a reunion; it was a collaborative effort to shape the university’s approach to a sustainable future.
The alumni, driven by a sense of justice, emphasized the need for solutions that are not only effective but also interdisciplinary and replicable beyond Stanford. A key topic was the pursuit of reaching net-zero emissions in the most cost-effective manner, considering the broader community and campus neighbors.
This event underscored the commitment of the alumni community to guiding and participating in Stanford’s journey of environmental responsibility. Their insights and advice are invaluable as the university continues to refine its climate action strategy, ensuring it’s not only ambitious but also inclusive and forward-thinking.

Ponsu Muthuraman ’26 evaluated the use of a machine learning tool to improve construction carbon emission estimation.

Students are transforming reusable mugs into a community ritual–reducing waste while rebuilding campus culture.

Danica Sun ’28 explored smarter resource use for one of Stanford’s major computing clusters.