Unifying Care and Coverage, Causal Inference; The Causal AI Conference 2024

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Naveed Sharif Director, Data Science & Analytics, Kaiser Permanente
Jeff Groesbeck, Staff Data Scientist, Kaiser Permanente

Naveed is passionate about leading high-performance teams in machine learning, experimentation, and analytics to develop impactful data products and strategic insights. His commitment is to enhancing user experiences by making them seamless and engaging.

Jeff is an economist and data scientist with over ten years experience turning data and complex analyses into actionable insights. His experience is broadly centered around using causal inference and experimentation to empower stakeholders to make informed decisions for their product.
  1. causaLens
  2. causal ai
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On Causal Analysis for Heterogeneous Networks

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14. Causal Discovery 0:18:23

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Rui Song: On 0:50:22

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Fan Li: A 1:03:19

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Ken Rothman: Aetiology: 0:26:01

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Kernel Methods For 0:29:36

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cAI23 - Causal 0:22:28

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AI and Causality: Estimating Heterogeneous Treatment Effects, Interpretability and Explainability

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Spatial Causal Inference Using Numerical Model

Connections between causality 0:50:47

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Robust causal inference 0:15:40

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Causal effects of 0:51:23

Causal effects of education on cognition and dementia. Dominika Seblova

Causal Reinforcement Learning 0:40:53

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Deep Learning for 0:26:28

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Susan Murphy: Inference 0:57:29

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