Kalai Ramea

Kalai Ramea, a data scientist at PARC, specializes in analyzing hydrogen fueling infrastructure. She shares her journey of purchasing a hydrogen car and the crucial research assessing fueling stations. Kalai discusses using temporal clustering to identify usage patterns at these stations, emphasizing the importance of reliability as their numbers grow. Her insights reveal how machine learning can improve station performance and inform policymakers on enhancing the adoption of zero-emission vehicles while addressing the intersection of transportation and energy systems.