Mike Norton and James Lang sit down with Mykela DeLuca, a battery data scientist and product manager at Micantis, to explore her transition from physical sciences to cutting‑edge AI and data science in battery diagnostics.
Mykela shares her story of how data science is reshaping the battery industry—particularly in predictive modeling for cycle life tests, cell health analytics, and quality control. She explains:
Moving from traditional lab science to programming, algorithms, and battery data interpretation
AI in diagnostics: how Micantis uses machine learning to predict battery performance and failure before it happens
Data-driven acceleration: stitching large datasets and generating test reports in minutes instead of weeks
Key platforms, workflows, and KPIs used in real-world R&D and manufacturing settings
Why domain knowledge plus data fluency is becoming essential in energy storage innovation
If you're curious about how AI and analytics are transforming battery R&D, and how scientists are redefining their roles with code, this episode is full of real-world context and forward-thinking insight.
Contact Mykela - mykela.deluca@micantis.io
