Chris Pease

Co-Founder for non-profit Foundation for Agentic Networks. Building knowledge & expertise in Agentic Networks.

Technical founder. Build agentic AI software that provides value to enterprise by enhancing collaboration between humans and AI.

Analyze economies and incentives in AdTech; develop new AdTech tools to improve optimization in fragmented industry. Protect IP for frontier applications.

Leading the way to fast and fair decisions for Track Cycling through World-Class video referee services for International events incl: 4 Olympics and 90+ World Championships, World Cups, Track Champions League events Global client engagement, stakeholder management, team management at 90+ International events over 6 continents. Building & researching AI applications that enhance refereeing: 4D gaussian splatting; multi-bounce LiDAR; agentic applications using context-aware reasoning.

Track Cycling Referee (part-time) - Regional (2010) to National (2015) to International (2022).

Founded Urgent VOICE, a unique Ad Agency providing crowdfunded Issue-based Ad campaigns at commercial scale. Led team of 14 to deliver over 200 highly strategic global social issue Ad campaigns.

• Strategic Data Science leadership for privacy-compliant global digital Audiences. • Wrote algorithms that captured: (1) row-level intelligence on users through consumption of digital (25 petabytes/year), physical (one trillion location events/yr) and demographic signals (2) increased Audience revenue by 25% through innovative social graphs that mined deep network-level intelligence on households and other social units that drive decision-making at home, work, and socially.

Moonshot projects: new revenue streams, massive scale. Develop proprietary algorithms that leverage 15+ billion carrier-level location events/month, process 60TB/day, and deliver monetization of location data at scale by enabling: • Rich behavioral personas for targeted 1-to-1 advertising • Strategic C-Suite Insights into market penetration Tech Stack: Python, R, Spark/Hive, Hadoop, AWS, Machine learning/AI.

• Solve business problems and deliver key insights by applying machine learning techniques • Develop algorithms to leverage insights from digital engagement (150m+ eClub members), and retail POS/reservation systems (>50k locations) to understand actionable drivers of sales • CART analysis, Hierarchical Clustering to drive Persona-based market segmentation • Look-Alike modeling to close the marketing loop • Trade Area Analyses based on demographic and behavioral features • Product development, soft skills

Analytics, CRM, Database Marketing, Business Intelligence Reporting, SQL, Predictive Modeling. Loyalty Programs.

Intro to Deep Learning (MIT 6.S191), including class presentation on multi-cam SAM modeling in sports.

Completed MBA, while managing portfolio of 3 startups.

Agent-based reasoning, Cryptography

Dissertation "Rational Conjugation of Torsion Units in Integral Group Rings" described as "Top-class, international level algebra" by external examiner. Available on request.

1st Class honors. Summa cum laude. Valedictorian.