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@WomenInStat 2 years ago
Our #RoCur this week is @JulieJosseStat of @Inria! #Statistics #DataScience #WSDS Julie is a Senior Reseacher working on handling missing values, causal inference, and combining RCT and observational data in collaboration with medical doctors. http://juliejosse.com/ https://t.co/W3YV8SbOM3
@GlobalGoalsAI 3 years ago
On day 4 of #OxML2020 we had a number inspiring and impactful lectures by Professor Mihaela van der Schaar on #MachineLearning/#medicine, the importance of interpretability, causal ML, and meta-learning. Another amazing day, with 300+ engaged audience. https://t.co/ZRhoGYRv6M
@evankirstel 3 years ago
Pioneering #AI algorithms may be able to aid researchers in making complex medical causal connections ‍⚕️✨@IrmaRaste @eViRaHealth #HealthTech @daniel_kraft #artificialintelligence #ai #machinelearning #datascience #deeplearning #technology https://t.co/WlmtSsH2Ao
@LauraBBalzer 5 years ago
What is your favorite resource on #DataScience as it relates to your work (#epidemiology, #medicine, #stats)? I'm a fan of @_MiguelHernan & co: "Data science is science's second chance to get causal inference right: A classification of data science tasks" https://arxiv.org/abs/1804.10846