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Animals at Home NetworkAuthor: AAHN
Exploring ethical captive management of reptiles & amphibians through the lens of biological science, conservation, and human nature. The Animals at Home Network is a herpetoculture-based podcast network that hosts: Animals at Home Podcast by Dillon Perron, Project Herpetoculture by Phillip Lietz and Roy Arthur Blodgett, Reptiles & Research Podcast by Liam Sinclair and Ellie Hills, and Animals Everywhere by Bryce Broom. Each show on the network brings all members of the reptile community together to discuss reptile husbandry, scientific research, breeding, wildlife conservation, and more! Language: en-us Contact email: Get it Feed URL: Get it iTunes ID: Get it |
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Project: Herpetoculture with Andis Arietta
Friday, 26 December, 2025
Dr. A. Z. Andis Arietta is a scientist whose work spans the intersection of AI, conservation, and herpetoculture (azandisresearch.com). He earned his PhD from Yale School of the Environment, where his research areas included ecological genomics, amphibian ecophysiology and development, and the ethics of conservation. That scientific and philosophical grounding now informs how he thinks about evidence-based animal care, conservation policy, and the impacts of data infrastructure.Professionally, Andis is a Senior Data Scientist working in machine learning, causal inference, and applied AI. He also teaches graduate courses on Practical AI, research methods, and data visualization, with an emphasis on application in the environmental field.Andis is an active herpetoculturist who runs Holotypica (holotypica.com), a small husbandry-focused venture centered on ethically bred amphibians and reptiles, primarily focused on dart frogs and emerald tree skinks. His work in the hobby prioritizes animal welfare, transparent methods, and helping keepers succeed through education and evidence-based guidance.Across all of his work, Andis is interested in how AI can support conservation and environmental outcomes, including improving decision systems, extracting insight from unstructured data, and strengthening science communication, while remaining clear-eyed about the limitations and risks of these tools.
