Instructors

Emmanuel Dufourq

Teaching: week 1-2 bioacoustics

I am the AIMS-Carnegie junior research chair in data science, a resident researcher at AIMS, and  a senior lecturer in applied mathematics. I have a background in computer science (MSc) and applied mathematics (PhD). I discovered the wonderful world of machine learning and ecology during my fellowship where I obtained the Next Einstein AIMS-Canada fellowship in climate change science award. I lead the machine learning for ecology research group where I focus on passive acoustic monitoring of endangered species around the world.

Rupa Kurinchi-Vendhan 

Teaching: week 3 camera traps

I am a first-year PhD student at MIT CSAIL, advised by Professor Sara Beery and supported by the MIT Tina Chan Fellowship. I am interested in the intersection of AI and ecology, furthering the domain of computer vision by leveraging the constraints of the natural world.