We’re thrilled to announce Adarsh Subbaswamy @_asubbaswamy, Regulatory Scientist at the FDA, as a speaker at #ML4H! His pioneering work focuses on reducing algorithmic bias and improving the reliability of machine learning models in healthcare. 🏥💻 #ML4H2024
Our latest work on data, AI and public health out in @PNASNews
We uncover robustness issues in Google Street View data and also show the necessity of causal frameworks for trustworthy decision making using AI
https://t.co/0IqkwyjSGr
New paper and software alert!
https://t.co/cZNy82J1kQ
Interested in modern mediation analysis methods with machine learning and multivariate mediators?
Take a look at this joint work with Richard Liu, @nickWillyamz , and @kara_rudolph
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Calling all potential mentors! Many talented early-career students have signed up for our mentorship programs, and they need you! For both reviewer mentorship & career mentorship!
Sign up before Aug 30!
Our #CallForParticipation is out!
Machine Learning for Health (ML4H) is back! It will be in-person in Vancouver, Canada on December 15 & 16, co-located with @NeurIPSConf
Be sure to retweet and follow @SymposiumML4H for more details!
https://t.co/gtGl9zW0I7
At the AFT poster session (10:20-11), @mvishwali28 will discuss her work with me and @alexdamour, "A Casual Perspective on Label Bias", that aims to use casual models to better understand the fairness issues posed by the use of biased proxy labels.
On Friday (tomorrow), join me in running back and forth between the overlapping NeurIPS Distribution Shift and Algorithmic Fairness workshop poster sessions and roundtables for discussion on work related to the intersection of fairness, distribution shift, and causality.
It was an absolute wonder organizing @SymposiumML4H with these awesome folks!
I'll be around at neurips until Friday!
I'm also on the job market, feel free to grab me to chat!
🌟 ML4H 2023 kicks off tomorrow! 🌟 We can't wait to welcome you all. Spread the word: on-site registrations are available on a first-come, first-served basis at the check-in desk. See you there!
🌟 Keynote Alert! 🌟 We're thrilled to announce Dr. Elaine O. Nsoesie as one of the keynote speakers for #ML4H! A prominent advocate for health equity, she's a game-changer in leveraging data and AI to address social disparities in healthcare. 🏥🌍
Thanks to the generosity of our sponsors, we are pleased to offer travel grants for early career trainees in need of financial assistance. If you are in need of travel support, please fill out this form by November 8: https://t.co/6qrDBdneko
📢 I am recruiting Ph.D. students for my new lab at @nyuniversity! Please apply, if you want to work on understanding deep learning and large models, and do a Ph.D. in the most exciting city on earth.
Details on my website: https://t.co/0F1fRAL2Pe. Please spread the word!