Sam Swanson, seasoned entrepreneur and communication professional, joins the pod to describe how machine learning and Raman spectroscopy can be leveraged to build greater confidence and certainty in microplastics analysis (altered by environmental weathering). If you’re passionate about sustainability, future and Indigenous program development, this is the place to be.

Listen to the end for Sam’s full career development insight and Indigenous-led financial resiliency initiatives he’s helping to build.

204 Communications: https://204communications.com/index.php/compound-connect/
Futurpreneur: https://www.futurpreneur.ca/en/indigenous
Follow Sam: https://www.linkedin.com/in/samuelswanson

Read the recently published Oajaiml research paper, titled Machine Learning of polymer types from the spectral signature of Raman spectroscopy microplastics data: https://www.oajaiml.com/archive/machine-learning-of-polymer-types-from-the-spectral-signature-of-raman-spectroscopy-microplastics-data