Applying research practices to Data Science solutions

How can data scientists go beyond blog posts and documentation to integrate cutting-edge research into their day-to-day work? In this talk, Sara Mita shares practical strategies for applying academic research practices to real-world data science problems.

Drawing from her experience in R&D and her academic background, Sara will walk through how she sources and selects relevant research papers, the structured approach she uses to read and understand them, and how she translates key findings into actionable code.

Expect a hands-on, insightful session covering:

• Where and how to find high-quality research papers (and what to ignore)
• A repeatable reading framework to extract useful insights quickly
• Tips for bridging the gap between theory and implementation
• Examples of how research has shaped her own projects in NLP and data analysis

Whether you’re new to research papers or looking to deepen your technical rigor, this talk will give you tools to level up your data science workflow using proven research methodologies.