Mary Pat Campbell

Mary Pat Campbell appears in Data, Risk, and Actuarial Science in Insurance as the guest explaining Actuarial Science to a data-science audience. The source identifies her as a life actuary working in insurance research, a fellow of the Society of Actuaries, and a member of the American Academy of Actuaries, with a background in physics and applied mathematics.

Her role in the wiki is to ground insurance data science in professional practice. She uses examples from mortality tables, COVID mortality, underwriting selection, electronic health records, policy flags, reporting lags, and regulatory limits to show why Actuarial Data Quality and Insurance Model Regulatory Constraint matter before AI or machine learning can be useful.

Connections

• Data Science With Sam and Sam (Data Science With Sam) - show and host context.
• Actuarial Science, Insurance Risk Transfer, and Mortality Risk Pricing - risk-quantification branch she explains.
• Actuarial Data Quality and Actuarial Standards of Practice - professional data and communication standards she emphasizes.
• Domain Expert Alignment and Human Judgment Under AI - collaborative AI/data-science boundary in insurance.