Juan Klopper is an associate professor and surgical researcher who blends clinical expertise with data science, deep learning, and large-scale online education to improve healthcare research and training. With 11+ years of experience, he has supervised 50+ graduate researchers, published 14 peer-reviewed papers, and authored a textbook on statistics using the Wolfram Language. He’s built a global audience—over 120,000 students, 1,300+ YouTube lectures, and top-ranked Coursera and Udemy courses—while contributing educational IPython notebooks to well-known resources like Gilbert Strang’s MIT linear algebra course on GitHub. Equally at home managing multidisciplinary research teams as he is coding reproducible analysis, Juan focuses on translating complex biostatistics and deep-learning methods into practical tools and curricula for clinicians and trainees.
11 years of coding experience
MMed(Surg)(UFS)Cum Laude, Surgery, MMed(Surg)(UFS)Cum Laude, Surgery at University of the Free State/Universiteit van die Vrystaat
IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
Role in this project:
Technical Writer
Contributions:16 commits, 17 pushes, 1 branch in 4 years 1 month
Contributions summary:Juan's commits primarily involve modifications to the repository's IPython notebooks, which appear to be study notes and educational materials related to linear algebra. The contributions consist of updating the notebooks with content, styling improvements through CSS, and general formatting of the code examples. The work demonstrates a focus on creating and maintaining the educational content in a clear and presentable format.
Contributions:7 commits, 6 pushes, 1 branch in 1 month
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