Sarah E. Hooper Data-verified
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Associate Dean for Student Programs and Admissions
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Biography and Research Information
OverviewAI-generated summary
Sarah E. Hooper's research interests span multiple areas, including veterinary medicine, environmental toxicology, and educational technology. She has investigated the development of analytical methods for biomonitoring pesticide residues in bat hair and explored the use of ultrasonic extraction for analyzing persistent organic pollutants in marine mammal blubber. Her work also addresses wildlife health, specifically the impact of microbial volatile compounds on bats affected by White-nose Syndrome.
In the field of veterinary medical education, Hooper focuses on integrating emerging technologies like machine learning and AI-generated cases to enhance student training in communication and case study analysis. She has also contributed to transdisciplinary team development through online data science training, applying it to real-world case studies such as the COVID-19 pandemic. Her scholarship metrics include an h-index of 8 with 33 total publications and 197 total citations.
Metrics
- h-index: 9
- Publications: 33
- Citations: 202
Selected Publications
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‘Find My Cat’: Using AirTags to Establish Home Ranges of Feral Cats on St. Kitts (2026)
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Owner Social Determinants of Health Associated with Exercise Patterns in Golden Retrievers with and Without Cancer (2026)
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Service-learning experiences can foster veterinary students’ development of competence in the Competency-Based Veterinary Education Model (2026)
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Ultrasonic Extraction-Based Analysis of Persistent Organic Pollutants in Blubber from False Killer Whales (2025)
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An Opportunistic Study to Assess African Green Monkey (Chlorocebus sabaeus aethiops) Welfare Using Novel and Classical Biomarkers (2025)
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Physical activity predictors of cancer in Golden Retrievers: it's about frequency and intensity, not type (2025)
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Introducing AI-generated cases (AI-cases) & standardized clients (AI-SCs) in communication training for veterinary students: perceptions and adoption challenges (2025)
Collaboration Network
Top Collaborators
- Using Machine Learning in Veterinary Medical Education: An Introduction for Veterinary Medicine Educators
- Using Machine Learning in Veterinary Medical Education: An Introduction for Veterinary Medicine Educators
- Introducing AI-generated cases (AI-cases) & standardized clients (AI-SCs) in communication training for veterinary students: perceptions and adoption challenges
- Random forest models reveal academic and financial factors outweigh demographics in predicting completion of a year-round veterinary program
- Owner Social Determinants of Health Associated with Exercise Patterns in Golden Retrievers with and Without Cancer
- Development of an LC-MS/MS Method for Non-Invasive Biomonitoring of Neonicotinoid and Systemic Herbicide Pesticide Residues in Bat Hair
- Contact-independent exposure to <i>Rhodococcus rhodochrous</i> DAP96253 volatiles does not improve the survival rate of <i>Myotis lucifugus</i> (little brown bats) affected by White-nose Syndrome
- Pesticide Exposure Risks to Chiropteran Species and the Impacts on Emerging Zoonotic Diseases
- Using Machine Learning in Veterinary Medical Education: An Introduction for Veterinary Medicine Educators
- Using Machine Learning in Veterinary Medical Education: An Introduction for Veterinary Medicine Educators
- Physical activity predictors of cancer in Golden Retrievers: it's about frequency and intensity, not type
- Veterinary students leading research in veterinary education, diversity, and data analytics
- An Opportunistic Study to Assess African Green Monkey (Chlorocebus sabaeus aethiops) Welfare Using Novel and Classical Biomarkers
- Investigating Stress and Coping Behaviors in African Green Monkeys (Chlorocebus aethiops sabaeus) Through Machine Learning and Multivariate Generalized Linear Mixed Models
- An Opportunistic Study to Assess African Green Monkey (Chlorocebus sabaeus aethiops) Welfare Using Novel and Classical Biomarkers
- Investigating Stress and Coping Behaviors in African Green Monkeys (Chlorocebus aethiops sabaeus) Through Machine Learning and Multivariate Generalized Linear Mixed Models
- An Opportunistic Study to Assess African Green Monkey (Chlorocebus sabaeus aethiops) Welfare Using Novel and Classical Biomarkers
- Investigating Stress and Coping Behaviors in African Green Monkeys (Chlorocebus aethiops sabaeus) Through Machine Learning and Multivariate Generalized Linear Mixed Models
- Development of an LC-MS/MS Method for Non-Invasive Biomonitoring of Neonicotinoid and Systemic Herbicide Pesticide Residues in Bat Hair
- Developing a Transdisciplinary Team Using Online Data Science Training and a Real-World Case Study on the Pandemic, COVID-19
- Developing a Transdisciplinary Team Using Online Data Science Training and a Real-World Case Study on the Pandemic, COVID-19
- Veterinary students leading research in veterinary education, diversity, and data analytics
- Veterinary students leading research in veterinary education, diversity, and data analytics
- Random forest models reveal academic and financial factors outweigh demographics in predicting completion of a year-round veterinary program
- Novel Betaherpesviruses in Neotropical Bats on the Caribbean Island of St. Kitts: First Report from Antillean Tree Bats (Ardops nichollsi) and Evidence for Cross-Species Transmission
- Novel Betaherpesviruses in Neotropical Bats on the Caribbean Island of St. Kitts: First Report from Antillean Tree Bats (Ardops nichollsi) and Evidence for Cross-Species Transmission
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