Summary
Matthew Bates is a data scientist and researcher-engineer with nine years applying decision analysis, risk management, and data science to complex, multi-objective problems for the US Army Corps of Engineers. He leads reimbursable research projects as principal investigator and product manager, translating decision-analytic methods—Monte Carlo simulation, optimization, value-of-information, and portfolio prioritization—into actionable guidance for infrastructure, water resources, and sustainability challenges under deep uncertainty. Technically fluent in Python, SQL, C#/C++, GIS, and advanced simulation tools, he pairs hands-on software development with rigorous study design, stakeholder engagement, and expert elicitation. His PhD work at UC Davis blends water-resources engineering with data science, enabling novel approaches to resilience assessment and R&D prioritization across federal partners and academia. Notably, he combines MS Excel and @Risk expertise with modern agile toolchains to rapidly prototype decision support systems that are both auditable and operational.
9 years of coding experience
Doctor of Philosophy (PhD), Civil Engineering (Water Resources & Data Science), Doctor of Philosophy (PhD), Civil Engineering (Water Resources & Data Science) at University of California, Davis
Bachelor of Science (B.S.), Computer Science (Mathematics Minor), Bachelor of Science (B.S.), Computer Science (Mathematics Minor) at California State University-Long Beach