Hi. My name is Sam Lapp.

My research leverages emerging artificial intelligence, machine learning, and automated sensing technologies to understand natural ecosystems and inform the conservation of biodiversity. I emphasize open science and inclusivity, in the belief that

Currently, I am a postdoctoral fellow at ESIIL, CU Boulder, advised by Dr. Esther Rolf and Dr. Sara Beery. My current research projects focus on:

• Providing user-friendly tools for analyzing passive acoustic monitoring datasets
• Developing automated methods for individual identification of birds by their vocal signatures
• Training machine learning models to extract rich insights from airborne LiDAR

I work closely with ecologists and conservation practitioners to apply these approaches to large-scale sensor data, enabling large-scale investigation of ecological processes and supporting conservation decision-making.

I lead the development of Dipper, a desktop tool for passive acoustic monitoring analysis, and OpenSoundscape, an open-source Python package for bioacoustic analysis. If you're interested in using Dipper or OpenSoundscape, I'm always happy to chat about your use case - just reach out and ask to schedule a call.

Outside of work, I spend my time making music, exploring the outdoors, and building community through shared experiences of learning and creative expression.