In the process of raising capital for ontologica.com, an automated real-time content tagger using semiotics (the study of symbols) within semantics (the study of meaning) framework, our work continues through boutique consulting assignments. This includes in situ research into the degree of topical membership and the emotional portent within that text via the application of our hierarchical algebraic approach to scoring the relative distance between lexical tokens based on their constituent phonemes.
After teaching and doing field research at the Newfound Harbor Marine Institute on Big Pine Key, FL then completing his graduate work at Florida State University’s Department of Statistics, he began his career of applied predictive science in New York City with Sol Steinberg’s Reliance Consulting Group. At RCG he worked for Fortune 500 companies like Kohler, Chamberlain, LaBaats, M&M/Mars, Celanese Chemicals, 3Com, National Fruit Company, Rich SeaPak, Warner-Lambert, Johnson & Johnson, Schering-Plough, Stanley Tools, Toyota and manufacturing institutes like the PMI (Pharmaceutical Manufacturing Institute) in NYC and FIEI (The Farm and Industrial Equipment Institute) in Chicago.
From there he went on to lead applied data mining and predictive analytics efforts to companies around the country; National Demographics & Lifestyles,, Abacus Direct/Double-Click, and MCI in the Denver-Boulder area; Andromedia, Macromedia, IBM, Cisco Systems, and Aggregate Knowledge in Silicon Valley.
His most recent post-graduate training in unstructured data analysis led him to apply Readware/Miti to the classification of online content while Chief Scientist at Aggregate Knowledge, Inc., solving a recommendation-engine problem, low-overlap-high-disjoint taxonomies, to link publishers seeking new content users and eCommerce sites pursuing potential customers currently engaged with content relevant to their product-line.
We eventually built several new patent-pending predictive algorithms in social-graph mathematics, automated taxonomies, serendipitous discovery, stochastic behavioral clustering, and human decision-making in online situations.
Timothy Vogel has a B.S. in Genetics from the University of Illinois and an M.S. in Statistics from Florida State University, now living and working in San Mateo, CA.