Customer-facing Senior Scientist, enhanced client and internal team understanding of the carbon science and data science principles underlying MRV and Sustainability Insights products. Served as the subject matter expert on the DNDC model, including its calibration, validation, and Bayesian uncertainty quantification. Skills: Advanced Modeling Techniques · Technical Documentation · Cross-functional Team Leadership · Effective Scientific Communication · Biogeochemical Data Analysis

Subject Matter Expert and Data Scientist serving as Technical Project Lead of multiple high-profile R&D initiatives, coordinating cross-departmental and multi-institutional teams. Developed rigorous statistical code, reports, and presentation materials, raising the level of understanding of the science across the company through effective communication. ▪ Successfully developed a scalable field-based assay using 15N methods capable of demonstrating mechanism of action & product efficacy. > Developed the company's first data cleaning, visualization, and statistical analysis code for 15N field trial data. Contributed significantly to mid- and end-of season field trial statistical analyses, reports, and presentations to executives and BOD. > Recognized with the Big Bang Award for contributions to transforming a manual modeling and reporting workflow to a 95% automated pipeline that delivered results directly to internal customers, reducing costs for analysis 10-fold and more than doubling research capacity in a third of the time, enabling data-driven decisions and a more efficient R&D pipeline. ▪ Guided the strategic path for publication on the mode of action and efficacy of the company's flagship product (PROVEN 40). > Led the analysis and synthesis of groundbreaking research with a multi-institutional and cross-functional team. > Enhanced the company's procedures for organizing and publishing scientific papers. > Represented the company as invited speaker at the Tri-Society meeting, and served as lead author on the manuscript. ▪ Improved execution of company’s funded University research partnerships by creating new systems-learning processes. > Instituted regular company stakeholders and University partners meetings; internal scientific review; company-wide dialogue with CEO, executive leadership team, and scientific advisory board. > Convinced executives to increase funding for 15N field research trials that provided key data for validating the product. Skills: Cross-functional Team Leadership · Effective Scientific Communication · Advanced Modeling Techniques · Data-driven Decision Making · Biogeochemical Data Analysis · R · Python (Programming Language) Synthetic Biology Advancement Provides a Natural Climate Solution and Potential for Transforming Nitrogen Management in Maize Cropping Systems

Subject Matter Expert and Data Scientist specializing in carbon and GHG modeling for climate change mitigation and policy applications. Played a key leadership role in cross-functional, multi-state agency & multi-institutional teams. ▪ Co-developed advanced versions of the California Natural and Working Lands Carbon and Greenhouse Gas Model (CALAND), a ~$900k, 3-year effort. Collaborated with policymakers, state agencies, NGO’s, university and public stakeholders, engaging in iterative software development to refine CALAND, aligning scientific rigor with stakeholder needs. Resulted in a scientifically robust model, simulating carbon and GHG dynamics under various land management, wildfire, urbanization, & climate change scenarios, and enabling California State agencies to visualize & quantify land use policy ROI for California State’s 2030 Natural and Working Lands Climate Change Implementation Plan. ▪ Produced technical documentation, training curriculum, and training modules for a CALAND model user, and taught a 2-day workshop enabling the public and state agencies to utilize the model for their own use cases. ▪ Recruited by The Nature Conservancy to serve as technical advisor on adapting CALAND to Colorado and New Mexico. ▪ Contributed to securing $4.7M in R&D funding by developing and writing the model research component within a larger grant proposal establishing the Working Lands Innovation Center, a multi-stakeholder consortium focused on catalyzing negative carbon emissions by deploying soil amendment technologies. Further advanced CALAND to simulate enhanced rock weathering and developed a new Soil Carbon Dynamics Model to quantify the global carbon sequestration potential of various negative emissions technologies. Published 2 manuscripts in top-tier journals. ▪ Led the establishment of guidelines for archiving modeling data to enhance its usability and synthesis through extensive engagement with U.S. Dept of Energy Terrestrial Modeling Community. Skills: Software Development · Project Management · Cross-functional Team Leadership · Advanced Modeling Techniques · Effective Scientific Communication · Technical Documentation · R · Grant Writing · Algorithm Development Soil management practices can contribute to net carbon neutrality in California Quantifying the effects of multiple land management practices, land cover change, and wildfire on the California landscape carbon budget with an empirical model GitHub - msimmond/caland: ca carbon accounting model

Examined the effects of climate change on the fate of soil carbon and the global warming potential of trace gas emissions from upland soils. Designed and implemented greenhouse experiments at Carnegie Institution for Science in the Department of Global Ecology. Skills: Experimental Research · Biogeochemical Data Analysis · Technical Project Leadership · Effective Scientific Communication · Soil Science Effects of Climate Change and Organic Matter Amendments on the Fate of Soil Carbon and the Global Warming Potential of CO2, CH4, and N2O Emissions in an Upland Soil Gas sampling of soil cores using closed-chamber method during 62-day incubation. Extracting soil pore water using evacuated Exetainers connected to porous Rhizon samplers.

Provided a suite of input files for the soil and crop biogeochemical model (DNDC), including detailed management, weather, soil, and calibrated crop growth parameters, to support the estimation of statewide methane emissions from rice cultivation in “California Air Resources Board (2018): Inventory Updates Since the 2017 Edition of the Inventory: Supplement to the Technical Support Document” California Air Resources Board GHG Inventory Methods Update

• Developed open-source curriculum and teaching materials on experimental design and analysis of agricultural field trials for a USAID extension project targeting agricultural researchers in Islamabad, Pakistan. • Collaborated with multidisciplinary team using GitHub to develop a statistics app powered by R. • Maintained regular communication with team, reporting progress and results, and presenting completed products. Skills: Statistical Modeling · Curriculum Development · Coding · Technical Presentations · Teamwork · R Agricultural Field Trial Statistics Package

• Supported quantification of greenhouse gas emission reductions using DeNitrification-DeComposition (DNDC) model for pilot fields in the Emission Reductions in California Rice Management Systems Project. • Provided technical support on interpreting model simulations and discrepancies; conduct QA/QC on model input and output files. • Created R script to improve efficiency of reading batches of DNDC output files and calculating customizable periods of (a) cumulative greenhouse gas emissions, (b) changes in soil organic carbon, and (c) total global warming potential of alternative management practices. Skills: R · Algorithm Development · Biogeochemical Data Analysis · Analytical Skills · Biogeochemistry · Process-based modeling

• Supported calibration and validation of DayCent model for rice systems: compiled and organized methane and nitrous oxide emissions and crop biomass production data from 16 field trials; provided insight into model-data discrepancies.