Amy R. Poe
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Assistant Professor of Cell and Molecular Biology
Also affiliated: Berry College (2012); National Institutes of Health (2018); Georgia Institute of Technology (2012–2014); Shanghai Jiao Tong University (2018); Cornell University (2017–2020); Cold Spring Harbor Laboratory (2018); California University of Pennsylvania (2024); National Institute of Neurological Disorders and Stroke (2018); University of Pennsylvania (2020–2024)
Faculty Researcher
Research Areas
Biomedical Subjects
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Biography and Research Information
OverviewAI-generated summary
Amy R. Poe's research investigates the developmental emergence of sleep rhythms and their connection to memory formation in *Drosophila*. Her work explores how circadian clocks and associated behaviors develop over time, examining the role of specific genetic factors, such as neurofibromin 1, in regulating early developmental sleep patterns. Poe also studies how energetic demands influence the development of sleep-wake rhythm circuits. Her publications include work on the emergence of sleep rhythms enabling long-term memory, the developmental aspects of circadian clocks, and the impact of neurofibromin 1 on sleep in *Drosophila*. Poe has a published h-index of 8, with 29 total publications and 464 citations.
Metrics
- h-index: 8
- Publications: 29
- Citations: 470
Selected Publications
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A Machine Learning Framework for Automated Computational Ethology Using Markerless Pose Estimation (2025)
Collaboration Network
Top Collaborators
- A Machine Learning Framework for Automated Computational Ethology Using Markerless Pose Estimation
- A Machine Learning Framework for Automated Computational Ethology Using Markerless Pose Estimation
- A Machine Learning Framework for Automated Computational Ethology Using Markerless Pose Estimation
- A Machine Learning Framework for Automated Computational Ethology Using Markerless Pose Estimation
- A Machine Learning Framework for Automated Computational Ethology Using Markerless Pose Estimation
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