Responsible for developing ML models to predict clinical patient outcomes and drive value-based payer models. Leading AI architecture for compound AI systems. Principally responsible for managing and extending predictive patient outcomes models for the Merit Based Incentive Program (MIPS) as part of Medicare's value-based payer focus.

Working to drive successful adoption of value-based health reimbursement models e.g. CMS MIPS. Principally responsible for developing, maintaining and delivering clinical risk models related to patient recovery and health outcomes. Translating risk models into ML code.

Responsible for developing NLP services e.g. automated knowledge discovery, sentiment analysis, classification, question-answer, and recommendation.

Developing data products for cities, counties and industry using the Python 3 Data Stack (Pandas, Numpy, Scipy, Matplotlib), and GIS tools. Building recommendation systems to improve access to decision-support tools. Projects include: mapping flood risk of coastal communities in Western Washington, tracking menu price changes for the Washington State restaurant and hospitality industry, building OCR systems for text extraction and price tracking, and recommender systems for identify verification, and information retrieval.

Founder, WSU Community Intelligence Lab, Research and Data Science Service for WSU Extension. Lead research/developer of the HyperGraph project, a toolkit for topological data analysis based on Hypernetwork Theory and Q-Analysis. Lead research in natural language processing for domain-specific ontology mapping in agriculture and food nutrition fields. Conducted research in mobile crowdsensing and natural language processing for public opinion mining and human health monitoring.

DirectHarvest is building ledger-technology tools for the USDA Organic Industry. Leading development of DLTs and smart-contract development for an organic commodities industry.

Design and development of custom natural language processing applications for the MetaMap.me systems mapping platform. Developed fast and efficient solutions using Python 3.6 (NLTK, Gensim and Spacy) for extracting named entities, noun-phrases, and semantic relationships between terms/concepts.

Developing innovation incubators for communities of practice involved in environmental education, sustainability and social change. Providing innovative new training programs in environmental education and community development across North America. Principally responsible for implementation of new learning technologies to improve practice in environmental education and civic ecology. Teaching courses in environmental education, climate change adaptation and evaluation methods. Researching online collaboration, innovation systems, and sustainability. Leading multi-state research programs on environmental stewardship, social learning and community resiliency in environmental disaster zones.

Conducted applied research for a NIH study to streamline acquisition of dietary data using Android based smartphones. Instrument calibration of mobile phone laser attachments for scanning food objects in 3d space. Principally responsible for 3d reconstruction of point cloud data generated from laser scans and stereo camera images using linear interpolation and k-d tree methods. Successfully developed down-sampling and up-sampling methods for smoothing 3d data. Implemented user-defined ROI and automated watershed methods for 2d and 3d image segmentation of food items. Developed algorithms for volume estimation of 3d objects in Matlab and C++. Responsible for documenting and reporting on development and volume estimation methods.

Web development and content management with Plone. Implemented social media campaign (Twitter and Facebook). Streamlined email templates (HTML). Drafted strategic communications plan. Developed custom web surveys for Fresh Food in Schools Program. Managed supporter database.

Planned and designed CATI survey of household shoppers to determine demand for organic and locally produced foods in Washington State. Conducted univariate and multivariate statistical analysis (e.g. Chi-Square, Factor Analysis, Logistic Regression, Multiple Linear Regression) of survey data using STATA. Developed databases (MySQL) to collect information on population statistics, community indicators and direct-marketing schemes by farmers in the U.S. and Europe.

Evaluated Sharepoint and FOSS cloud computing technologies to support e-learning. Identified new opportunities and thinking in the design and delivery of e-learning tools at WSU. Produced end-user documents for using Sharepoint, Wiki and Google technologies to aide the design of student ePortfolios. Developed a media-rich portal to facilitate scholarly collaborations for the Global Plant Sciences Initiative, Presented guest lectures on visual reasoning, and technology-assisted problem-solving.

Managed Plone installation and Linux/Zope webserver, Implemented social media and adwords campaign to drive web traffic and donor support to hope-link.org, Developed and supported content creation for website, and print media, Produced visual images, web pages and custom portals as needed to promote outreach campaigns and community programs, * Maintained digital and non-digital archives of print and organizational campaign collateral.

Duties: coordinator for the International Relations section of the 2006 Western Political Science Association conference. Grading papers, creating country databases and compiling information on African security issues.