Matt Grenander is a Machine Learning Researcher and PhD student at the University of Edinburgh with a decade of experience building ML-driven systems across industry and academia. He has applied research experience at startups and major tech firms—working on automated feedback in intelligent tutoring, ML internships at Meta and AWS, and currently researching at Sense Street—bridging deep learning, NLP, and production engineering. His background spans from core software development at Ericsson to research-heavy roles, giving him a practical edge in taking models from prototype to deployed service. Based in Edinburgh, he combines rigorous academic training (McGill MS, BS) with hands-on PyTorch and Python expertise and a track record of interdisciplinary work in discourse analysis and intelligent tutoring systems.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at The University of Edinburgh
Master of Science - MS Computer Science, Master of Science - MS Computer Science at McGill University
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Matt Grenander - Machine Learning Researcher at Sense Street