Applying ML and distributed computing on large-scale geospatial data to discover the battery metals

Presenter: I-Kang Ding
I-Kang Ding is a data scientist and machine learning engineer with over a decade of experience in a variety of fields, including mineral exploration, financial services, semiconductor manufacturing, and solar cell R&D. I have years of hands-on experience in the full lifecycle of machine learning models at scale, from business problem definition and refinement, data and feature pipelines, model development, and model deployment and monitoring in production.