Our services.

Project Management

Effective coordination is key to the success of complex environmental projects with multiple collaborators, timelines, and technical components. I offer project management services that bring structure, clarity, and momentum to your efforts—whether you're launching a new initiative or maintaining an ongoing program. With strong leadership and communication skills, I can serve as a central point of contact to keep teams aligned, manage logistics, track progress, and ensure milestones are met on time. From fieldwork planning to data delivery, I help streamline operations and foster productive collaboration across diverse stakeholders.

Experimental Design

From concept to execution, I provide support in designing and implementing robust environmental monitoring experiments. This includes assistance with selecting appropriate instrumentation, developing datalogger programs, setting up data acquisition systems, and establishing standardized protocols for consistent, high-quality data collection. Whether you're initiating a new research project, expanding an existing monitoring network, or testing specific ecological hypotheses, I can help ensure your experimental design is technically sound, scalable, and aligned with your research objectives.

Automated Data Management

Efficient data management is essential for ensuring the integrity, accessibility, and long-term value of environmental monitoring efforts. I offer custom solutions to automate data handling workflows—including data transfer, backup, organization, and archiving—so your data reliably gets where it needs to be. Whether you're working with dataloggers in the field or managing large-scale sensor networks, I can develop scripts and systems that reduce manual intervention and minimize data loss. These tools can be tailored to your infrastructure and built using platforms like MATLAB, Python, or R, helping ensure your datasets are secure, well-structured, and ready for analysis.

Training

I offer tailored training services designed to build technical capacity in ecosystem monitoring, greenhouse gas flux measurements, and environmental data analysis. With experience training students, researchers, and practitioners across a variety of settings, I provide instruction in eddy covariance, chamber-based flux methods, sensor deployment, datalogger programming, and data processing workflows. Trainings can be delivered in-person or virtually, and can be customized to your needs. Whether you're launching a new monitoring initiative or strengthening the skills of your team, I can develop and deliver practical, hands-on training aligned with your project's goals and technical needs.

Data QAQC & Visualization

I offer customized solutions for automated quality assurance and quality control (QA/QC) of environmental and flux datasets, helping streamline data workflows and ensure high data integrity. Using tools such as MATLAB, Python, and R, I develop scripts and pipelines that flag anomalies, fill gaps, and apply standardized filters to large datasets. In addition, I create interactive, user-friendly visualizations that allow clients to explore trends, assess data quality, and generate summaries in real time. Whether you need a standalone dashboard or automated reporting tools, I can deliver flexible, scalable solutions tailored to your monitoring system and research needs.

Flux Data Processing and Reporting

I provide comprehensive data processing and reporting services for both eddy covariance and chamber-based greenhouse gas measurements. This includes raw data cleaning, time series alignment, flux calculation, spectral corrections, and gap-filling, as well as the application of quality control protocols aligned with international standards (e.g., AmeriFlux, ICOS, FLUXNET). I also offer support in preparing datasets for publication or submission to data repositories, and can generate clear, visually engaging summary reports to help communicate key findings. Whether you need one-time analysis or ongoing data support, I can help ensure your flux data is accurate, reliable, and ready for interpretation or dissemination.