Materials
Public materials.
A selective set of presentations, primers, and teaching materials on analytics strategy, AI adoption, and practical data science. Materials are listed only when they are ready to stand on their own.
A strategy presentation on where analytics can improve pharmaceutical decisions, and where organizational incentives and evidence quality limit the promise.
A practical primer on the operating routines, controls, and handoffs needed to move machine-learning work beyond prototype use.
Presentation links currently point to canonical Google Slides versions. Public PDF versions can be substituted here once release copies are finalized.
Review queue.
Additional materials from the current archive are being reviewed before publication. Drafts, private client materials, and selected-reader documents stay outside the public site unless they are placed behind access control.