Principal Data Scientist at Yeji Datalab, with a focus on transforming supply chain operations by building and deploying efficient and high-performant ML models.
Previously, I completed a Ph.D. in the LiNC Lab at University of Toronto, studying biologically plausible deep learning algorithms.
Living in Toronto, Canada.
I am interested in researching state-of-the-art machine learning models, extending ML models to novel learning domains, and using existing models and techniques to provide useful solutions to real world challenges.
Work Experience
Data Scientist Lead, Yeji Datalab, Toronto, Canada.
March 2023 - Present
Senior Software Engineer, Invisible AI, Toronto, Canada.
September 2022 - March 2023
Senior Software Engineer, Mythic AI, Toronto, Canada.
January 2022 - July 2022.
Data Scientist, Ivado Labs, Montréal, Canada.
June 2020 - January 2022.
Data Scientist Intern, Ivado Labs, Montréal, Canada.
November 2019 - June 2020.
Education
Ph.D. in Computational Neuroscience, University of Toronto, Canada.
September 2014 - March 2021.
Hon. B.Sc. in Mathematics and Physics, University of Toronto, Canada.
September 2009 - June 2014.
Publications
Burst-dependent synaptic plasticity can coordinate learning in hierarchical circuits
Alexandre Payeur, Jordan Guerguiev, Friedemann Zenke, Blake Richards and Richard Naud (2021). Nature Neuroscience. Code available here.
Spike-based causal inference for weight alignment
Jordan Guerguiev, Konrad Kording, and Blake Richards (2020). International Conference on Learning Representations (ICLR). Code available here.
Towards deep learning with segregated dendrites
Jordan Guerguiev, Timothy Lillicrap, and Blake Richards (2017). eLife, 6, e22901. Code available here.
BonZeb: Open-source, modular software tools for high-resolution zebrafish tracking and analysis
Nicholas Guilbeault, Jordan Guerguiev, Michael Martin, Isabelle Tate, Tod Thiele (2021). bioRxiv.
Irrelevance by inhibition: Learning, computation, and implications for schizophrenia
Nathan Insel, Jordan Guerguiev, and Blake Richards (2018). PLOS Computational Biology, 14(8), e1006315. Code available here.