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Dr. Emre Kiciman, Senior Principal Researcher at Microsoft Research joins the podcast to share his world-leading knowledge on causal machine learning.This episode is brought to you by Datalore (datalore.online/SDS), the collaborative data science platform, and by Zencastr (zen.ai/sds), the easiest way to make high-quality podcasts. Interested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information.\nIn this episode you will learn:\u2022 What is causal machine learning? [5:52]\u2022 Causal machine learning vs correlational machine learning [10:10]\u2022 Emre\u2019s DoWhy open-source library [16:17]\u2022 The four key steps of causal inference [21:24]\u2022 How and why Emre\u2019s key steps of causal inference will impact ML [26:36]\u2022 Emre's thoughts on the future of causal inference and AGI [34:09]\u2022 How Emre leverages social media data to solve social problems [38:36]\u2022 What's next for Emre's research [46:02]\u2022 The software tools Emre highly recommends [55:16]\u2022 What he looks for in the data science researchers he hires [58:45]\nAdditional materials: www.superdatascience.com/613