Ph.D., epidemiology. research software engineer @ Stanford Health Policy. living in Ann Arbor. open-source data science. causal inference. doing poems on aircrafts. approximately Bayesian. formerly Posit, Apple, AmeriCorps. 心を燃やせ。sic semper tyrannis. .. more
Ph.D., epidemiology. research software engineer @ Stanford Health Policy. living in Ann Arbor. open-source data science. causal inference. doing poems on aircrafts. approximately Bayesian. formerly Posit, Apple, AmeriCorps. 心を燃やせ。sic semper tyrannis.
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- Ten years ago, I attempted to learn Python and it went EXTRMELY badly 😩
- I am really happy that so much tooling in this area has improved SO much since then 😌
youtu.be/pMVYl9fx1EE
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www.youtube.com/watch?v=B-bM...
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Apply through the ELLIS PhD program (dl October 31) ellis.eu/news/ellis-p...
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Pictured: a collider bias diagram, inspired by a blocked pipe situation I experienced (which I credit with giving me the intuition though it also ruined my belongings in the flooded cellar).
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Join us in Nov to hear from @mpiccininni3.bsky.social on why the causal risk ratio might be more stable and transportable across settings.
Sign up: ucl.zoom.us/meeting/regi...
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