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© 2019 by Sieve Analytics |  All rights reserved.

ABOUT US

Mission

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.

Vision

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

Ph.D. Biology

I am a tropical ecologist and a founder of Sieve Analytics.  

Giovany Vega

MS Computer Science

I am a full stack programmer. My main role in Sieve is to maintain and update the ARBIMON platform.

Marconi Campos-Cerqueira

Ph.D. Biology

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

Carlos Corrada-Bravo

Ph.D. Computer Science

I am a computer scientist and a founder of Sieve Analytics.

Nashally Folch-Mercado

BS Biology

I am an ornithologist and my main roles in Sieve are to participate in field projects and species identification. 

Julian Velev

Ph.D. Physics

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.

Jack LeBien

MS Physics

I am a physicist with an interest in acoustics. My main role in Sieve has been to develop new algorithms for automated species identification. 

Michael Haas

MS Physics

I am physicist with extensive programming experience. I have assisted Sieve in updating the ARBIMON platform incorporating the new analytical tools.