Instructores
Conozca a los instructores del taller

Dr. Ben Weinstein
Universidad de Florida
I study machine learning for biodiversity monitoring, support open-source computer vision, and have a passion for birds and plants of the Andes.

Dr. Juan Parra
Universidad de Antioquia
I am currently an Assistant Professor at Instituto de Biología in Universidad de Antioquia, Medellín, Colombia. I am a member of the Grupo de Ecología y Evolución de Vertebrados where we study the ecology and evolution of many fascinating systems.

Dr. Jose Francisco Ruiz-Munoz
Universidad Nacional de Colombia
Jose Francisco Ruiz-Munoz is an Assistant Professor at the Universidad Nacional de Colombia. From 2018 to 2021, he was a Postdoctoral Associate at the Machine Learning & Sensing Lab at the University of Florida. He obtained his doctoral degree at the Universidad Nacional de Colombia in 2017. His interests lie in applied mathematics, data analysis, and machine learning. His work primarily involves teaching programming and machine learning foundations and courses, and designing algorithms for processing and analyzing data, including biological sequences, time series, text, audio signals, images, and videos. You can find his research profile on Google Scholar.

Dr. Juan Sebastian Ulloa
Instituto Humboldt
Juan Sebastián Ulloa is a Scientific Researcher at the Center for Socio-Ecological Studies and Global Change of the Humboldt Institute in Colombia. With a Master's degree in Electronics Engineering and a Doctorate degree in Life Sciences, he is dedicated to developing smart tools for biodiversity conservation, particularly in tropical ecosystems. His expertise spans signal processing, machine learning, acoustics, and ecology.

Santiago Guzman
Universidad de Pittsburgh
Santiago is a staff researcher at the University of Pittsburgh working on machine learning for amphibian monitoring.

Dr. Boris Tinoco
Universidad del Azuay, Ecuador
Dr. Tinoco fue instrumental en la formación y desarrollo de este taller. Aunque no pudo unirse como instructor, su experiencia y visión ayudaron a dar forma al programa. Puede encontrar su trabajo de investigación en Google Scholar.