Finally, it's official: I will join @ETH Zurich as an assistant professor!!
— Michael Moor (@Michael_D_Moor) July 12, 2024
My group will be part of the beautiful @ETH_BSSE department (see new building below right).
Our group will focus on medical foundation models, multimodality, retrieval augmentation, dataset and… pic.twitter.com/u7lXgeCY8E
📢 New piece published today in @Nature!
— Michael Moor (@Michael_D_Moor) April 12, 2023
It was a pleasure to work with such a stellar team including Oishi Banerjee, @ZahraShakerii, @hmkyale, @jure, @EricTopol, and @pranavrajpurkar!
🧵below.https://t.co/xSEkkaXqJ8@Stanford @Harvard @Yale @UofT @scrippsresearch
1/n
Excited to see our paper covered on the @Stanford news front page:
— Michael Moor (@Michael_D_Moor) April 13, 2023
Link to the post: https://t.co/Z2uPX0yw2g
Thank you for great article @coreybinns, and the strong support by Jill Wu and @Taylor_Kubota! https://t.co/ObXhtGAX9r pic.twitter.com/OtQkGGh0Vx
Gave my first live talk @Stanford about "Topol🍩gical representation learning".
— Michael Moor (@Michael_D_Moor) May 25, 2022
Here are the slides 🖥, created with reveal.js 🔥https://t.co/IXlTb9hxtM#MachineLearning #TDA#topology #revealjs (1/2) pic.twitter.com/r1C3uwLlTw
I am truly delighted to announce that I will join @jure's group at @Stanford as a #postdoc this March!
— Michael Moor (@Michael_D_Moor) February 2, 2022
Excited to connect & chat about #ML/#AI for #health and more! @StanfordEng @StanfordMed #MedTwitter (1/4) pic.twitter.com/ZmeTRxKvcv
If you want to predict clinical phenotypes using #MachineLearning, check out our systematic review on ML-based #sepsis prediction. A THREAD with take-aways that could be relevant to #AI in #healthcare in general. (--> = hints for practitioner) 1/nhttps://t.co/t9tzkTQ6Cn pic.twitter.com/j6gnOuKQ2a
— Michael Moor (@Michael_D_Moor) May 29, 2021