Kamran Kowsari is a Senior Data Scientist at UCLA Health with eight years of experience applying deep learning and Python to health informatics and clinical research. He holds a PhD in Computer Science and has progressed from research and teaching roles to leading algorithm development that powers object detection and text mining projects in healthcare. Kamran combines rigorous academic research with practical deployment, translating complex biomedical data into actionable insights that improve patient care. He also contributes technical writing and documentation for open-source text-classification resources, reflecting a commitment to knowledge sharing beyond code. Based in Los Angeles, he brings a rare blend of clinical-focused innovation and clear communication that helps bridge research and production environments.
8 years of coding experience
13 years of employment as a software developer
Master's Degree, Computer Science, Master's Degree, Computer Science at The George Washington University
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at University of Virginia
Contributions:217 commits, 8 PRs, 95 pushes in 4 years 5 months
Contributions summary:Kamran's commits primarily involve updating and renaming the README.rst file, suggesting a focus on documentation. They updated the table of contents, added sections on various text classification topics like feature extraction, pre-processing, dimensionality reduction, existing techniques, and evaluation. The commits also included code examples and references to related papers.
Contributions:23 commits, 2 PRs, 17 pushes in 4 months
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