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Lisa Dawn C.

Lisa Dawn C.

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Ontology and Data Modeling Management @ Capital One AI Product Leader with passion for AI Ethics and Data Quality. ex-{NASA, Genentech, Pandora, Yahoo!} Opinions are my own. Please, no soliciting!
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Education

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Stanford University

, The Center for Computer Research in Music and Acoustics -
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Taipei Language Institute - TLI

, Coursework in written and spoken Mandarin Chinese -
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The University of Texas at Austin

MA, Linguistics (semantics and computational linguistics) -
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The University of Texas at Austin

Post-Bac, Coursework in linear algebra, differential equations, and elementary physics -
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Texas McCombs School of Business

MS, Technology Commercialization -
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Tufts University

BA, Philosophy -
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Woodhull Institute for Ethical Leadership

, Organizational Leadership -

Work Experience

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Capital One

Current

Capital One

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Stealth startups

Current

Stealth startups

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Textio

2022-05-01 - 2022-11-01

Textio

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Pandora

2017-02-01 - 2022-05-01

Pandora

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Finch AI

2016-06-01 - 2016-11-01

Finch AI

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multiple start-ups

2015-12-01 - 2016-06-01

multiple start-ups

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Lingonautics

2014-03-01 - 2015-07-01

Lingonautics

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Zipfian Academy

2013-09-01 - 2013-12-01

Zipfian Academy

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California Digital Library

2011-01-01 - 2012-02-01

California Digital Library

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TopQuadrant / NASA

2008-01-01 - 2010-07-01

TopQuadrant / NASA

Skills

Product Requirements Cross-functional Team Leadership Critical Listening Sound Design Software as a Service (SaaS) Big Data Ontologies Semantic Web Analytics Machine Learning Natural Language Processing Semantic Technologies Distributed Systems Python OWL RDF Integration Social Media Project Management Search

Summary

****** Formulating AI product strategy, focusing on ML recommendation systems, conversational AI, NLP, generative AI, and ontologies / knowledge graphs. ****** Whether I am delivering personalized features to 90M+ listeners, developing data standards for NASA, or leading a startup through the acquisition process, I pursue every opportunity with a creative vision that unites teams to deliver their best. On the technical side, I have developed ontologies and NLP for knowledge-based systems, created ML-based intention classifiers for emergency help response and developed a semantic registry for the Library of Congress based on open-source software. This open-source experience really opened my eyes to the power of open collaboration. I also believe in the future of equitable AI applications that encourage the goodness of humanity and minimize biases which reinforce systemic inequalities. My opinions are my own/ not representative of any employer.

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