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Recorded on Nov 12, 2023 in Undisclosed location, Undisclosed location
From Systems Biology to Causality
Robert always loved statistics.
He went to study systems biology, driven by his desire to model natural systems.
His perspective on causal inference encompasses graphical models, Bayesian inference, reinforcement learning, generative AI and cognitive science.
It allows him to think broadly about the problems we encounter in modern AI research.
Is the reward enough and what's the next big thing in causal (generative) AI?
Let's see!
About The Guest
Robert Osazuwa Ness is a Senior Researcher at Microsoft Research. He explores how to combine causal discovery, causal inference, deep probabilistic modeling, and programming languages in search of new capabilities for AI systems.
Connect with Robert:
- Robert on Twitter/X
- Robert on LinkedIn
- Robert's web page
About The Host
Aleksander (Alex) Molak is an independent machine learning researcher, educator, entrepreneur and a best-selling author in the area of causality.
Connect with Alex:
- Alex on the Internet
Links
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Causal Bandits Team
Project Coordinator: Taiba Malik
Video and Audio Editing: Navneet Sharma,
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Causal Bandits Podcast
Causal AI || Causal Machine Learning || Causal Inference & Discovery
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The Causal Book: https://amzn.to/3QhsRz4
