Data scientist and machine learning systems architect with over two decades of experience in large-scale distributed computing and open-source data-intensive software architectures. Leading authority on Apache open-source projects, neural network architectures, and big data management. Pioneering expertise in content analysis frameworks and information retrieval systems widely adopted across government, industry, and research institutions. Recognized as a Principal in Data Science with industry-standard publications on machine learning and extensive executive leadership in technology and innovation.
Formal Education
- Ph.D. in Computer Science from University of Southern California
- M.S. in Computer Science from University of Southern California
- B.S. in Computer Science from University of Southern California
- Executive Certificate in Public Policy from Harvard Kennedy School
Career Highlights
- Chief Data & Artificial Intelligence Officer at a major research university
- Chief Technology & Innovation Officer at a leading federal research laboratory
- Original creator of a foundational open-source content analysis framework
- President and Co-Founder of an AI consulting firm
- Principal Data Scientist designation at a leading federal research laboratory, first in the data science domain
- Adjunct Professor at a distinguished engineering research university
- Author of "Machine Learning with TensorFlow, 2nd Edition"
- Director of Information Retrieval & Data Science Group at a top-tier research institution
Expert Qualifications
- Retained as testifying expert in patent disputes involving automation and workflow systems
- Served as consulting expert in trade secret identification and code review matters
- Expert witness for defendant in major social media litigation involving algorithmic systems
- Testifying expert in enterprise data systems disputes
- Consulting expert in information security and data analytics matters across multiple jurisdictions
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Frequently Asked Questions
What types of cases can this expert support?
Patent disputes involving automation, algorithms, and data systems. They've served as testifying expert in trade secret matters, algorithmic systems litigation (including social media cases), and enterprise data systems disputes. Litigation experience also includes information security and data analytics matters.
What is this expert's technical background?
PhD and M.S. in Computer Science, plus an Executive Certificate in Public Policy. 20+ years at a federal research lab as Chief Technology & Innovation Officer and first Principal Data Scientist in their domain. Original creator of a major open-source content analysis framework and adjunct professor; also authored industry-standard machine learning books.
What technologies does this expert specialize in?
Apache Tika, Solr, OODT, Hadoop, Spark, and TensorFlow for distributed data systems and machine learning. Content analysis, metadata extraction, MIME type detection, and information retrieval systems. They architected several of these systems, so the technical depth is substantial.
- Apache Tika
- Apache Solr
- TensorFlow
- Hadoop and Spark
- Natural Language Processing
- Neural Network Architectures
- Apache OODT
- Metadata Extraction
- Distributed Computing Systems
- U.S. District Courts
- Patent Trial and Appeal Board
- State Courts