Thoughts on data science, human-computer interaction, and the intersection of rigorous methodology with practical application.
Exploring how artificial intelligence can augment rather than replace human researchers, creating more effective and innovative research processes.
Read moreExploring the gap between academic research and real-world data science applications, and how to build bridges that benefit both domains.
Read moreHow incorporating human-centered design principles can improve the effectiveness and adoption of machine learning systems in real-world applications.
Read moreApplying proper statistical methods to product experiments can dramatically improve decision-making quality and avoid common pitfalls in A/B testing.
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