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10min chapter
Episode 18: Research Data Science in Biotech
Vanishing Gradients
Tech Stack and Operationalizing Work
This chapter explores the tech stack used in the podcasters' work, including Python, PyTorch, Jax, and Typer. They discuss the operationalization of their work as command line interface tools for web-readiness and the use of Docker for easy code deployment. The chapter also covers the importance of differentiable models in research data science and the challenges of being an individual contributor versus a hiring manager/team lead in biotech.
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Discover
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Listen to the best highlights from the podcasts you love and dive into the full episode