
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.
Join Green Chemistry experts from Millipore Sigma to learn about embodied carbon in the chemicals industry. Through real-world case studies, we will examine major sources of supply chain emissions and strategies for reducing emissions and creating safer chemicals. Attendees will walk away with a greater understanding of the industry’s major sustainability challenges and emerging opportunities. This discussion is open to all – no expertise in chemistry or sustainability is required.
Start:
04/21/26 12:00PM
End:
04/21/26 1:00PM

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

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Rachel Porter, PhD candidate, investigated alternatives for reducing reliance on Stanford’s natural gas-fired steam plant.