Dina Svetlitsky is an ML research engineer with a PhD in Computer Science and Bioinformatics and over a decade of experience bridging academic research and production ML at Taboola. She has a strong track record in designing scalable data-mining algorithms and pipelines—most notably improving bacterial genome classification accuracy by 9% over prior benchmarks—and publishes regularly in top computational biology venues. Comfortable across Python, Java and ML tooling, she combines feature-selection, interpretable models and NLP techniques to solve domain-specific problems and deliver researcher-friendly tools. A seasoned educator and collaborator, she has revamped course materials and built a desktop app used by biologists, showing a rare mix of rigorous theory, practical software delivery and user-focused design.
11 years of coding experience
10 years of employment as a software developer
Master's Degree, Computer Science - Bioinformatics, GPA: 95.4, Thesis: 99, Graduated with honors, Master's Degree, Computer Science - Bioinformatics, GPA: 95.4, Thesis: 99, Graduated with honors at Ben-Gurion University of the Negev
Contributions:8 reviews, 2 PRs, 3 pushes in 1 year 9 months
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