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Casual Inference

May 29, 2024

Erick Scott is founder of cStructure, a causal science startup. Erick has expertise in medicine, public health, and computational biology.


  • “A causal roadmap for generating high-quality real-world evidence”

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May 16, 2024

Nima Hejazi is an assistant professor in biostatistics at Harvard University. His methodological work often draws upon tools and ideas from semi- and non-parametric inference, high-dimensional and large-scale inference, targeted or debiased machine learning (e.g., targeted minimum loss estimation, method of sieves), and...

May 1, 2024

Aaditya Ramdas is an assistant professor at Carnegie Mellon University, in the Departments of Statistics and Machine Learning. His research interests include game-theoretic statistics and sequential anytime-valid inference, multiple testing and post-selection inference, and uncertainty quantification for machine...