Eric Crawford

Dr. Eric Crawford is a dedicated PhD student at McGill University, specializing in machine learning and cognitive science within the Reasoning and Learning Lab under the mentorship of Joelle Pineau.

His research primarily focuses on object discovery, utilizing deep probabilistic neural networks to autonomously detect and track objects across various visual mediums, including images, videos, and 3D environments.

Additionally, Dr. Crawford explores the compositional nature of object reasoning and is enthusiastic about computer vision, with a keen interest in object detection, instance segmentation, and 3D modeling.

With a strong academic background, Dr. Crawford completed his Master of Mathematics in Computer Science at the University of Waterloo in 2014, where he delved into developing biologically plausible models for human knowledge representation.

During his master's, he also contributed to the development of an MPI implementation of the Nengo neural simulator under the guidance of Chris Eliasmith.

Furthermore, Dr. Crawford holds a Bachelor of Mathematics in Computer Science with Honors and Co-op, including a Cogsci Option from the University of Waterloo, where he honed his skills by working on a GPU implementation of Nengo during his co-op terms.

Throughout his academic journey, he has gained diverse experience, including internships at Unity Technologies and Persona Identities Inc., teaching assistant roles at McGill University and the University of Waterloo, and research and development positions at the University of Pennsylvania, Computational Neuroscience Research Group at Waterloo, and Acronym Software Inc.