Evan Markou is a research-focused machine learning scientist with nine years of experience exploring the intersection of deep learning, optimisation, and geometry, currently a Research Scientist Intern at Pluralis Research and a PhD candidate at The Australian National University. He combines rigorous theoretical work on neural networks with practical teaching experience, having led and tutored advanced courses in deep learning, computer vision, and statistical machine learning. Evan’s background spans a Master’s in Machine Learning and Computer Vision and international study in Europe, reflecting both strong foundations and a global perspective. Based in Canberra, he balances research and pedagogy while contributing to the academic community through sustained tutoring and course leadership across multiple semesters. Notably, his profile emphasizes a drive to make the theory of neural networks more precise, suggesting a focus on principled methods over purely empirical engineering.
9 years of coding experience
Australian National University
Bachelor of Computer Science Informatics and Telematics, Bachelor of Computer Science Informatics and Telematics at Harokopio University of Athens
Undergraduate Exchange Programme (ERASMUS +), Undergraduate Exchange Programme (ERASMUS +) at Middlesex University
Computer Programming Specific Applications, Computer Programming Specific Applications at freeCodeCamp
A project, designed and implemented from the needs of Middlesex University UK, operating as cloud provider in GSD cooperation
Contributions:14 commits, 5 PRs, 21 pushes in 4 years 1 month
gcphibernateproviderspring-mvccloud
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