- Generated data integration & ML models program roadmap for an ag. biologicals discovery pipeline.- Coordinated & ideated with Data Science, Biological R&D, Engineering and Executive team leads.- Created plan, document & deck for build phases, ML/bioinformatics algorithms, ETL & DB schema.

Data science:- Formulation/ benchmarking of soil health indicators with 1000s of metagenome samples.- Design of analytics methods targeting key grower interventions and actionability.- Coordination with product, R&D, engineering and agronomy for product release.- Consulted with data scientists for geospatial analysis/ML, molecular validation and QA/QC. - Designed bioinformatics feature engineering and data science methods for future product iterations with expanded data layers. Project management / lead- Lead indicator development and release, integrated product and data needs across teams.- Final patent submission as first author for indicators and underlying processes.- Strategic planning and documentation for 3 major initiatives, roadmapping, project scoping. - Design and oversight of 4 lab process and assay development projects.- Including process improvements, assay development, COGs reduction, new products. - Project management bootcamp; implemented in project scoping, design, and management.

Data science:- Consulting for new bioinformatics process development with internal/external contributors.- Analysis and validation of bioinformatics pipeline with various data sources and ontologies.- Optimization of bioinformatics pipeline normalization strategies.- Curation of 380 genes, 40+ metabolic pathways; analyses, benchmarking and validation.- Analysis of biases among conditions/ controls in prior workflows lead to process overhaul.Project management / lead:- Lead development of metagenomics based soil health indicators, critical metadata needs. - Integration of product, bioinformatics and data science requirements.- Development of metadata sets, new data layers, scalable process design.- Design, development, oversight of scalable workflows and new data assays.- Lead biological patent submission teams for 4 patents, 1 as lead author.

Developed software for analysis of microbial communities for use across multiple projects in research group. Implemented machine learning analyses of microbial functions linked with greenhouse gas cycling. Mentored undergrad, Ph.D. student and post-doc projects linking microbial communities and functions to climate feedbacks in wetland soils. Used stable isotope techniques to disentangle sources and transformations of methane linked to microbial communities and functions.

My work in Susannah Tringe’s lab developed trait-based microbial frameworks to predict complex ecosystem processes based on evolutionary coupling of nutrient metabolism. I employ shotgun metagenome and ribosomal tag sequencing along with bioinformatics and statistics to connect landscape variation in soil metabolism to shifts in functional groups of microbes. We have applied these techniques across wetland soils spanning > 100 miles of coastline in the San Francisco Bay and Delta to better predict greenhouse gas responses to restoration and climate change by examining coupled microbial cycling of soil C, N, P, S, and methane. - Obtained 850 samples for 16S rRNA sequencing; generated 900 Gbp metagenome sequence.- Created trait-based models of microbial populations, soil C cycling and greenhouse gas fluxes. - Developed new greenhouse gas methods, cross-validated with UC Berkeley and Davis labs.- Specified 42 accompanying soil and water test parameters, coordinated contract lab analyses.- Published in the International Society of Microbial Ecology Journal; others in preparation.- Presented results in five talks and five posters at professional research conferences.- Mentored a Ph.D. student projects and undergraduate intern project.- Coordinated research with collaborators at Lawrence Berkeley Lab, UC Davis and UC Berkeley, CA Department of Water Resources, CA & US Fish and Wildlife, and two National Estuarine Research Reserves.

- Generated and analyzed pyrosequencing data revealing bacterial and fungal community responses to manipulation of soil temperature and nutrients across a range of wetland soils.- Prepared soil extracts for DNA and microbial nutrient pools, P speciation using 31P-NMR.- Grant writing for NSF proposal seeking integration of sequence data and ecosystem models.- Delivered talks at INTECOL International Wetlands Conference, American Geophysical Union.

- Delivered 28 lecture hours to professional master’s students; substantially modernized course.- Supervised two TAs, mentored individual and group student research projects, prepared exams. - Led hands-on weekend field trip surveying diverse wetland types along 300 miles of coast.- Coordinated guest speakers and local wetland site visits.- Earned instructor rating of 4.67 / 5 in student course evaluations.