We offer a complete solution for acoustic biodiversity monitoring. The ARBIMON team seeks to improve the way we monitor fauna around the world by making the process of species identification in audio recordings easy and accessible to everyone.
Our vision is to make acoustic biodiversity monitoring stations as common as weather stations and make the information available in real-time for everyone around the world.
T. Mitchell Aide
I am a tropical ecologist and a founder of Sieve Analytics.
MS Computer Science
I am a full stack programmer. My main role in Sieve is to maintain and update the ARBIMON platform.
I am a biologist interested in acoustic ecology, species distribution modeling and animal behavior.
My activities in Sieve include: coordinating all field projects and data analyses and offering workshops and webinars.
Noelia A. Nieves-Colón
MS Animal Behavior
Biologist with a full-time passion for birds.
My main roles in Sieve are to manage the website and social media and to participate in field projects and species identification.
Meet The Team
Ph.D. Computer Science
I am a computer scientist and a founder of Sieve Analytics.
I am an ornithologist and my main roles in Sieve are to participate in field projects and species identification.
I am a physicist and my main role in Sieve is to coordinate data science research and manage the Amazon Web Service architect.
María José Andrade-Núñez
Ph.D. Environmental Science
I am a landscape ecologist with an interest in how human population growth and infrastructure expansion affect the environment at the scale of South America.
My main role in Sieve has been to assist with GIS analyses.
I am a physicist with an interest in acoustics. My main role in Sieve has been to develop new algorithms for automated species identification.
I am physicist with extensive programming experience. I have assisted Sieve in updating the ARBIMON platform incorporating the new analytical tools.