Claire Dawson
Editor at mm-ais.com
Claire Dawson is a PhD candidate in Computer Science at Stanford University, where she studies how AI models can optimize sales outreach and lead scoring. Her research focuses on reinforcement learning for email sequencing and the ethical implications of automated persuasion. Deep experience. Intellectual curiosity.
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Recent articles by Claire Dawson
- Stanford 2026 RL Email Test: Reward Design, Friction & Blind Spots August 19, 2026
- RL Stops SSO Credential Stuffing: 2026 Guide August 17, 2026
- BanditSales Data: 90-Day Sales Budget Threshold Explained August 15, 2026
- NetSuite's 40% Stockout Cut: Odoo Comparison and Caveats August 14, 2026
- Catch-All Domains: 38% False Replies Skew B2B Scoring August 12, 2026
- RL Email Sequencing Cuts B2B Response Latency, But Not Uniformly August 11, 2026
- August 10, 2026
- Gmail 0.3% Spam Cap: 3-Email Cadence vs 5-Email in 2026 August 9, 2026