Hena Ghonia is a data scientist with nine years of experience focused on deep learning and the intersection of machine learning with systems architecture. She has contributed to foundation-model research at Mila, including work on brain foundation models for time-series neuroimaging presented at NeurIPS 2024 and probabilistic time-series forecasting models. Her background spans applied industry solutions—predictive maintenance, wearable analytics, and streaming ML deployments—alongside research internships that advanced uncertainty-aware models using PyTorch and GPyTorch. Based in Old Toronto, she blends academic rigor from Université de Montréal/Mila with practical product delivery at Global Excel and Ecolab, and she’s particularly interested in how advances in ML reshape hardware and software design decisions.
9 years of coding experience
4 years of employment as a software developer
Nirmala Convent School
Quebec Inter-University Transfer, Quebec Inter-University Transfer at McGill University
Master's degree Machine Learning, Master's degree Machine Learning at Mila - Quebec Artificial Intelligence Institute
Information communication and technology, Information communication and technology at Ahmedabad University
Master's degree Computer Science, Master's degree Computer Science at Université de Montréal (University of Montreal)
Contributions:7 commits, 5 pushes, 1 branch in 3 years 6 months
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