Abstract: Biodiversity monitoring is crucial for tracking and counteracting adverse trends in population fluctuations due to climate change and other anthropogenic factors. While terrestrial animals have been a keen interest, insects are highly under-monitored due to their sheer complexity. This contrasts with the fact that nearly 90% of the described species on the planet are insects. In this talk, I will introduce a new paradigm for monitoring insects, focusing more on machine learning aspects.

Biography: Aditya Jain is an aerospace graduate student at the University of Toronto and an intern at Mila – Quebec AI Institute. His background is in robotics (self-driving cars, drones, industrial robots) and machine learning. He has experience building technologies in the field of healthcare, urban planning, agriculture, and climate change. He has spent time at industrial research labs that include Microsoft Research and TCS Research. In his personal life, he is a certified yoga instructor and practitioner.