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About Me
Emily Hadley is a senior research data scientist with nearly 7 years of experience. Her work spans several practice areas including health, education, social policy, and criminal justice. She has experience with generative AI, machine learning, natural language processing, and predictive analytics, and is actively involved in AI governance research.
Interests
- Artificial Intelligence
- Safe and Responsible AI
- Natural Language Processing
Education
MSc Analytics
North Carolina State University
BS Statistics, BA Public Policy
Duke University
📚 My Research
Use this area to speak to your mission. I’m a research scientist in the Moonshot team at DeepMind. I blog about machine learning, deep learning, and moonshots.
I apply a range of qualitative and quantitative methods to comprehensively investigate the role of science and technology in the economy.
Please reach out to collaborate 😃
Featured Publications
Recent Publications
(2024).
The Frequency and Characteristics of Brokered Illegal Drug Sales: Reconceptualizing Illegal Drug Markets and Measuring Local Demand.
Contemporary Drug Problems.
(2024).
Investigating algorithm review boards for organizational responsible artificial intelligence governance.
AI and Ethics.
(2024).
Post-Acute Sequelae of SARS-CoV-2 Infection in Pregnant Females: An Electronic Health Records Analysis from the RECOVER Initiative (PCORnet and N3C).
Research Square.
(2024).
Insights from an N3C RECOVER EHR-based cohort study characterizing SARS-CoV-2 reinfections and Long COVID.
Communications Medicine.
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