Causal AI, Modularity & Learning || Andrew Lawrence || Causal Bandits Ep. 002 (2023)

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`from causality import solution`
Recorded on Sep 04, 2023 in London, United Kingdom


A Python package that would allow us to address an arbitrary causal problem with a one-liner does not yet exist.

Fortunately, there are other ways to implement and deploy causal solutions at scale.

In this episode, Andrew shares his journey into causality and gives us a glimpse into the behind-the-scenes of his everyday work at causaLens.

We discuss new ideas that Andrew and his team use to enhance the capabilities of available open-source causal packages, how they strive to build and maintain a highly modularized and open platform.

Finally, we talk about the importance of team work and what Andrew's parents did to make him feel nurtured & supported.

Ready?

About The Guest
Andrew Lawrence is the Director of Research at causaLens (https://causalens.com/) Connect with Andrew: 

• Andrew on LinkedIn: https://www.linkedin.com/in/andrew-r-lawrence/ 

About The Host
Aleksander (Alex) Molak is an independent ML researcher, educator, entrepreneur and a best-selling author in the area of causality.
Connect with Alex: 

• Alex on the Internet: https://bit.ly/aleksander-molak

Links

• Code and Blogs
  • DARA open-source framework (https://bit.ly/3Ql1VhF) 
  • causaLens GitHub (https://bit.ly/3QmoUJz) 
  • causaLens Blog (https://bit.ly/46TieJF) 
• Videos
  • Brady Neal Introduction to Causality
• Books
  • Bishop (2006) - Pattern Recognition and Machine Learning 
  • Molak (2023) - Causal Inference and Discovery in Python
  • Pearl & Mackenzie (2019) - The Book of Why 

Support the show

Causal Bandits Podcast
Causal AI || Causal Machine Learning || Causal Inference & Discovery
Web: https://causalbanditspodcast.com

Connect on LinkedIn: https://www.linkedin.com/in/aleksandermolak/
Join Causal Python Weekly: https://causalpython.io
The Causal Book: https://amzn.to/3QhsRz4