Causal Inference in Computer Science | Jakob Zeitler
Jakob Zeitler is a Pioneer Fellow at SMARTbiomed and a PhD graduate from the UCL Centre for Artificial Intelligence. In this conversation, we explore the intersection of causal inference and computer science, focusing on its theoretical foundations and practical applications. We discuss how frameworks like Directed Acyclic Graphs (DAGs) and potential outcomes are used to model causality, the differences between observational and experimental studies, and the growing role of causal inference i...
30 Jan 2025
The Art of Asking the Right Question | Colin Gray
I chat with Colin Gray, Senior Data Scientist at Netflix, as he shares his journey from economics to data science in tech. Discover how asking the right questions shapes decisions, the challenges of modeling human behavior, and how economics provides a lens for tackling complex problems. Expect to Learn About - The importance of asking the right questions in data science. - How economics principles apply to tech and business problems. - The challenges of identifying causality in noisy data....
24 Jan 2025
Causal Thinking in Business | Dimitriy V. Masterov
Dimitriy V. Masterov, a fractional tech economist with over 20 years of experience, joins me to discuss how causal inference and economic strategies can revolutionize decision-making in startups and beyond. Dimitriy shares his journey from working with major companies like Domino’s, eBay, and Thumbtack to pioneering innovative solutions in early-stage marketplaces as a fractional chief economist. We delve into the practical applications of economics, from monetization strategies and pricing ...
20 Jan 2025
Why Tech Companies Need Economist-Engineers | Vincent Martin from Meta
Vincent is a Research Scientist Manager at the Central Applied Science Team at Meta. In this episode, Vincent provides insights into the unique role of economists in tech, particularly those who combine economic expertise with software engineering skills. We cover the challenges of hiring economists with the necessary technical abilities, the importance of clear communication in business settings, and the evolving landscape of forecasting and causal inference in tech. Vincent discusses the t...
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