Assistant Professor of information studies with 15+ years of research experience in social media misinformation detection, online political communication analysis, and information quality assessment across digital platforms. This expert specializes in machine learning-driven content moderation, cross-platform information operations analysis, and computational detection methods for identifying online disinformation. Published extensively in top-tier academic and professional conference venues, this expert has secured substantial federal research funding from multiple government agencies in support of information integrity and digital platform governance research.
Formal Education
- Ph.D. in Computer Science from University of Maryland
- M.S. in Computer Science from University of Alabama in Huntsville
- B.S. in Computer Science and Mathematics from University of Alabama in Huntsville, Summa Cum Laude
Career Highlights
- Assistant Professor in information studies and research affiliate at a leading research university
- President and Chief Research Scientist of a research and consulting firm
- Co-Director of education and workforce development initiatives in trustworthy AI and law
- Co-Founder of a research center focused on AI, data, and conflict
- Subject Matter Expert at a technology consulting company
- Affiliate researcher at a leading research university's center for social media and political studies
- Assistant Professor in informatics at a major research institution
- Postdoctoral Researcher at a leading research university in social media and political research
Expert Qualifications
- Retained as testifying expert in energy and infrastructure litigation
- Retained as testifying expert in technology platform regulation matters
- Served as consulting expert in information integrity and digital platform disputes
- Served as consulting expert in healthcare and medical device litigation
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Frequently Asked Questions
What types of cases can this expert support?
This expert regularly testifies in technology platform and infrastructure disputes. Cases about algorithmic recommendations, misinformation spread, or content moderation align with their core expertise—they can explain how information moves through digital systems and how those systems decide what to amplify.
What is this expert's technical background?
PhD in computer science with 15+ years in academia and research consulting. They've held faculty positions in informatics and information studies, ran a research consulting firm, and led initiatives on trustworthy AI. The consistent thread is computational methods applied to social problems—understanding how information spreads online and building systems to detect manipulation.
What technologies does this expert specialize in?
Machine learning pipelines for detecting misinformation, specifically natural language processing applied to Twitter and YouTube data. They build content moderation systems and network analysis tools in Python, focusing on computational signatures of coordinated inauthentic behavior, recommendation system biases, and how fake news propagates.
- Twitter data mining
- YouTube recommendation systems
- Natural language processing
- Machine learning
- Social media analysis
- Misinformation detection algorithms
- Content moderation systems
- Python
- Network analysis
- U.S. District Courts
- Arbitration Panels