- Helping institutions with advanced complex needs adopt and improve AI to accelerate strategy, R&D, software development & deployment, supply chains, talent acquisition and retention, and specialized operational workflows.- Leading the AI transformation of a leading renowned research institute.- Predictive financial modeling using intangible asset valuation, SEC reports, and market data.- World's best patentability and IP threat assessment capabilities.

- Developed an ontology of the WWW using a machine learning-based approach to generating taxonomies I first developed in 2005. - Developed core components of a science-based text discovery generation engine initially purposed for electronic research publication collections. - Developed advanced techniques for automatic ontology construction and for forecasting and decision modeling in areas as diverse as finance, mergers & acquisition, competitive intelligence, technology investment strategy for private and government clients, consumer health, legal discovery, and drug discovery.

- Profitable AI. Integrated NLP, AI, and econometrics for patent analysis, intellectual property asset valuation, and due diligence, driving $100M+ transactions. Python apps deployed on AWS.- Innovations Driving Revenue. Invented new automated methods for complex core products, helping drive divisional revenue from $5M to $300M in three years.- M&A prediction. Created a >95% accurate acquisition target predictor using intangible assets.- Patentability via Large Language Model breakthroughs. Developed a state-of-the-art vectorization method for patents using pretrained transformer models, generating over 400 new models for automating legal and financial functions. Best-in-class patentability predictions.

The last academic generalist in AI and the first scientist in the arts & humanities at Duke.Faculty, Information Science + Studies (ISS), Computational Media Arts & Cultures, (CMAC), and MFA-Experimental & Documentary Arts (MFAEDA). Cross-disciplinary text mining and AI, computation and meaning, data science, scientometrics, quantitative policy analysis, creative industries and nanotechnology in national economic systems, new media theory, and digital humanities. I also served as a research contributor and mentor to the Duke Art Law and Markets Initiative (DALMI), an interdisciplinary project bridging art economics, fine art studies, social network analysis, art history and text mining that served to make significant contributions to the study of art history as well as the formation of fine art as an asset class.- AI-focused research scientist/professor, educator, and policy influencer, pioneering data-intensive research, governance, and education for emerging ML tech.- Orchestrated AI-driven platforms and research teams impacting US nanoscience policy, shaping billions of dollars of major global greentech and agritech investments.Guided a $2M spinoff creation including a patent analytics venture, leveraging artificial intelligence to enhance IP strategies for legal and financial strategy.- Led a research team of up to 10 scientists and assistants for large research grants.- Founded the Duke's Text Mining Lab, fostering innovation at the intersection of AI and IP strategy, addressing fundamental concerns at the heart of generative AI. -Helped lead collaborative development of data-intensive academic programs and research practices, establishing the presence of ML-based technologies in multiple disciplines.

Originally Spark IP. Contributed breakthrough technologies for AI-driven analysis of intellectual property including a cluster-naming technique now widely adopted by the US national security apparatus for bulk message analysis. Drove novel temporal analysis methods for technology development as well as retrieval performance analysis & demos for potential clients including the Government of the Republic of Singapore, US DoE and Pfizer.

• Automated taxonomy: designed the first-ever ML-driven classification & global web navigation system prototypes for 100,000+ web support documents • Innovated advanced solutions for information architecture & search engine optimization (SEO) tasks for entire support.sas.com site • Consulted internal business clients and presented intelligent content management and metadata solutions • Constructed a content analysis, search term analysis & reporting application suite prototype in Java & MySQL as a solo effort – a groundbreaking information architecture and metadata management tool that provides intelligent automated consumer-responsive analysis, content organization, and site management of very large and heterogeneous enterprise web content collections