🌿 Biologists who build. Engineers who care about nature. Tech-Biologists bridge ecological science and cutting-edge technology to tackle real-world conservation challenges.
When most people hear biotech, they picture researchers in lab coats hunched over microscopes and PCR machines — and honestly, that's a fair image. But that's not quite what we are.
The term "Tech-Biologist" was coined by researcher and good friend Daniel Quilter during a conversation about tracking sea turtles using GPS. At its core, a Tech-Biologist is a biologist who uses technology in their field of study. In an age where technology surrounds us, what makes that special? We don't just use technology — we adapt and innovate it specifically for ecological research, solving challenges that would otherwise demand enormous manual effort.
Take camera traps as an example. Deployment is manual. Data retrieval is manual. And analysing the footage traditionally means a researcher — or more likely, their grad students — combing through thousands of hours of video looking for animal triggers. AI algorithms can now sift through that same data in 2–3 hours. That's Tech-Biology in action.
Today's Tech-Biologists build electronic sensors, fly drones, write code, and train AI models. We are transdisciplinary by nature — collaborating with engineers, chemists, and computer scientists, while keeping ecology at the centre of everything we do.
Through collaboration with industry partners and academic institutions, we translate research findings into practical applications that can be deployed at scale. By bridging the gap between science and industry, Tech-Biologists play a crucial role in driving sustainable innovation and making a measurable impact on the environment.
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Our primary focus is conservation technology for flora and fauna. Our current flagship study is the Green Sea Turtle, Chelonia mydas. We also run several IoT and drone-related projects.
[Past projects](https://techbiologist.notion.site/Past-projects-4bfa82a997824b5ba285facae083edc6)
Curious how AI is shaping conservation research? This podcast was generated using NotebookLM by Google and explores one of our projects — an ESP32-based camera system for wildlife monitoring.
Listen to a podcast about our project generated by AI. NotebookLM by Google
Listen to a podcast about our project generated by AI. NotebookLM by Google
