US Forest Service Research & Development
Contact Information
  • US Forest Service Research & Development
  • 1400 Independence Ave., SW
  • Washington, D.C. 20250-0003
  • 800-832-1355
You are here: Home / People / Profile


Mount Britton, El Yunque, PR

Carlos Milan

Information Technology Specialist
One Gifford Pinchot Drive
United States

Phone: 608-231-9385
Contact Carlos Milan

Research Interests

Bioacoustic monitoring, automated monitoring system, automated species identification, amphibians calling activity patterns

Past Research

Graduate research: Geographical distribution and correlation of selenium levels in human blood and soil

Graduate research: Spatial analysis of flood vulnerability of health facilities in Puerto Rico and the susceptible population at risk

Undergraduate research: Sphaerodactylus Phylogenetic Reconstruction using Dynamic Homology.

Undergraduate research: Abundance of Native and Introduced Frogs in the Field and their Interspecific Interactions in Captivity.

Undergraduate research: Birds community dynamics in a costal landscape mosaic.



  • University of Puerto Rico, Medical Sciences Campus, Graduate School of Public Health, M.S. Environmental Health 2013
  • University of Puerto Rico, Río Piedras Campus, B.S. Natural Sciences 2008

Professional Experience

  • Intern Student, Centers for Disease Control and Prevention (CDC), Agency for Toxic Substances and Disease Registry (ATSDR)
    2013 - 2013
    Studied the variation in the geographical distribution of selenium levels in human blood and correlation of selenium levels in blood and soil.
  • Research Assistant - ARBIMON, University of Puerto Rico, Rio Piedras Campus
    2008 - 2013
    Worked in the development of algorithms to automated species identification from real time audio recordings as well as the development of permanent and portable audio recorders for data acquisition.

Citations of non US Forest Service Publications

  • Aide TM, Corrada-Bravo C, Campos-Cerqueira M, Milan C, Vega G, Alvarez R. (2013)Real-time bioacoustics monitoring and automated species identification. PeerJ 1:e103

Last updated on : 10/05/2020