Meet the Team
Experts in signal extraction, statistical analysis, and decision support
Mark Rizzn Hopkins
Principal Engineer
Mark leads systems design and implementation—turning ambiguous, high-stakes decision problems into durable tooling. He focuses on fast iteration, sharp interfaces, and production-grade reliability, with an emphasis on methods that stay interpretable under real-world constraints.
Idalia Ward
Developer Documentation & Analysis
Idalia is our primary writer for the dev blog—turning complex analysis and engineering work into clear, usable documentation. She translates ambiguous requirements into crisp specs, surfaces edge cases early, and builds the narrative scaffolding that makes our tools and methods legible to teams under real-world time pressure.
Jim Durbin
People and Process Analyst
Jim analyzes organizational structures, workflows, and team dynamics to identify bottlenecks and optimize decision-making processes. He applies data-driven methods to understand how people work together, surface inefficiencies, and design systems that enable teams to operate more effectively under real-world constraints.
Severus Stone
Head of Site Operations
Severus oversees the operational infrastructure that keeps our systems running reliably at scale. He manages deployment pipelines, monitors system health, and ensures our platforms remain available and performant under real-world load. His focus on operational excellence and rapid incident response keeps our data science workflows running smoothly.
Emily Thompson
Analytics Consultant
Emily translates complex analytical findings into clear, actionable insights for decision-makers. She works directly with clients to understand their constraints, validate assumptions, and ensure our models align with real-world business needs.
James Wilson
Senior Data Scientist
James focuses on lightweight, interpretable models that deliver clear signal without black-box complexity. He's built measurement systems with explicit confidence bounds for leaders who need to commit resources intelligently, not just confidently.
Aisha Okafor
Research Scientist
Aisha explores new methods for uncertainty quantification and model validation. Her research into statistical techniques for large-scale data analysis helps us stay at the cutting edge of applied data science while maintaining rigor and transparency.