The Kartzinel Lab at Brown University brings together field ecology, genomics, and data science to address consequential questions in ecology and conservation—working expand access to knowledge and technology. GenOps—the Genomic Opportunities Lab—is our platform for extending that work beyond our current research programming, institution, and academic discipline.
A New Opportunity for Conservation Science
GenOps is launching a new Partnership Program to help make genomic technologies more accessible to people working at the forefront of conservation.
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Beginning on September 14th, we invite conservation organizations, agencies, and researchers to apply to join the inaugural GenOps Partnership Program—an initiative designed to turn critical conservation questions into rigorous, actionable data.
→ Discover GenOps → Explore the Partnership Program → Announcing the 2026-27 Application Cycle |
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Active Initiatives
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🐘 Savanna Ecology: Where our dietary DNA strategies took shape — informing conservation across Kenya’s conservancies.
🦥 Sloth Conservation: Launching a genomics-informed program to understand connectivity and wildlife health in fragmented forests. 🌵 Bosque Fray Jorge National Park: A 35+ year ecological experiment revealing how climatic pulses reshape desert food webs. 🦬 Yellowstone Long-Term Ecological Research: Integrating diet, movement, and trophic ecology in North America’s most iconic National Park. |
Open the 2025 Annual Report from the Kartzinel Lab
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In the Press & Making an Impact
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📢 Conservation genomics study highlights impacts on diamondback terrapins. → Read coverage from EcoRI News 📢 Interview on genomic tools for biodiversity conservation with Mongabay. → View feature 📢 Yellowstone migration research featured in national media. → See behind-the-scenes story |
When Large Herbivores Disappear, A Tiny Antelope Reshapes Savannas​ [Read our announcement...]
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Explore The Lab
🔬 For Researchers & Practitioners
Protocols, genomic tools, and applied conservation methods.
→ Software & Data: open access code and data with helpful description.
→ Protocols: freely available to guide projects from the field to the lab.
→ Bioinformatics & Technology: browse resources that may help you.
Protocols, genomic tools, and applied conservation methods.
→ Software & Data: open access code and data with helpful description.
→ Protocols: freely available to guide projects from the field to the lab.
→ Bioinformatics & Technology: browse resources that may help you.
🎓 For Students & Trainees
Graduate opportunities, mentorship, and interdisciplinary training.
→ Join the Lab: opportunities for undergrads, grad students, and postdocs.
→ Meet the Lab: current lab members and alumni.
Graduate opportunities, mentorship, and interdisciplinary training.
→ Join the Lab: opportunities for undergrads, grad students, and postdocs.
→ Meet the Lab: current lab members and alumni.
🤝 For Prospective Collaborators & Partners
Agency partnerships, contract research, and training opportunities.
→ Collaborate with GenOps: contracts, training, other options.
→ Protocols: freely available to guide projects from the field to the lab.
→ Contact: contact Dr. Kartzinel for information.
Agency partnerships, contract research, and training opportunities.
→ Collaborate with GenOps: contracts, training, other options.
→ Protocols: freely available to guide projects from the field to the lab.
→ Contact: contact Dr. Kartzinel for information.
🌍 For Our Supporters
Help expand access to conservation technology in emerging & high-impact systems.
→ Support Our Work
→ Why Give?
Help expand access to conservation technology in emerging & high-impact systems.
→ Support Our Work
→ Why Give?
Resources Worth Exploring
🔗 Practical guides, methods, and perspectives from the Kartzinel Lab
→ Using AI in Research: feel free to read and reuse our guidance for using AI thoughtfully and responsibly in scientific research.
→ How many samples do you need for a dietary DNA study?: considerations for replication, sample size, and ecological inference.
→ Metabarcoding vs. Metagenomics: understand the differences and decide which approach best fits your research question.
→ Biodiversity Credits & DNA Reference Libraries: explore how genomic data and reference libraries support emerging approaches to biodiversity measurement and conservation.
→ How many samples do you need for a dietary DNA study?: considerations for replication, sample size, and ecological inference.
→ Metabarcoding vs. Metagenomics: understand the differences and decide which approach best fits your research question.
→ Biodiversity Credits & DNA Reference Libraries: explore how genomic data and reference libraries support emerging approaches to biodiversity measurement and conservation.
Explore more resources from the lab!
What's New From The Lab
🔗 Most Recent Posts
- When Large Herbivores Disappear, A Tiny Antelope Reshapes Savannas
- Mary Burak appointed Chief Scientist of the International Crane Foundation for Africa
- Rapid DNA testing for poisonous plants in animal diets
- NSF renews the Fray Jorge LTREB award
- Alumni spotlight: Andy Luo (2021-2024)
- How many samples do you need for a dietary DNA study?
- "Metabarcoding versus..." (series)
- Reconstructing 10,000 Years of Caribou Diets from Melting Yukon Ice Patches
Browse all News & Updates to learn about our research, find opportunities to join the team, and see behind-the-scenes as science happens.
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