Congratulations to @arvindpillai.bsky.social and our team for receiving the Best Paper Award at the #NeurIPS workshop on Time Series in the Age of Large Models!
PaPaGei: Open Foundation Models for Optical Physiological Signals
* Arxiv: arxiv.org/abs/2410.20542
* Code: github.com/nokia-bell-l...
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Intro post! I work in the intersection between machine learning, healthcare, and sensing. In this area, Iโm interested in developing Trustworthy ML models that are robust across different populations and scenarios.
16.11.2024 17:43 โ ๐ 0 ๐ 0 ๐ฌ 0 ๐ 0
HCI Postdoc Northeastern | PhD CS Georgia Tech | Microsoft Research 2021, 2022.
#AI ๐ค x #MentalHealth ๐ค x #FutureOfWork โ๏ธ
https://vedantswain.com/
PhD student Artificial Intelligence| F1 |
Write at https://open.substack.com/pub/wesleypasfield | Previously Lark Health, AWS/Amazon, GoPro, Nielsen company | Currently Emerging Tech Fellow at US Census, and Adjunct Professor at University of San Diego Applied AI MS
Visiting Postdoc Scholar @UVA
Previously: PhD Imperial, Evidation Health, Samsung AI
Researching core ML methods as well as computational/statistical methods in biomedicine, health and law
arinbjorn.is
๐Switzerland
PhD student @MIT. Previously: @Uoft/@VectorInst, @winterlightlabs, and @IITGuwahati
Senior Researcher & Tech Lead at Nokia Bell Labs.
#MachineLearning for personal data and wearable devices: multimodal, private, and efficient!
๐ https://mmalekzadeh.github.io/
San Diego Dec 2-7, 25 and Mexico City Nov 30-Dec 5, 25. Comments to this account are not monitored. Please send feedback to townhall@neurips.cc.
The official account of the Stanford Institute for Human-Centered AI, advancing AI research, education, policy, and practice to improve the human condition.
"Sensing Emotions...coz Mental Health matters"
PhD Candidate | IIITD, India | HCAI | Ubiquitous Computing | Sensing | Data Centric AI
https://alchemy18.github.io/pragyasingh/
Assistant professor of CS at UC Berkeley, core faculty in Computational Precision Health. Developing ML methods to study health and inequality. "On the whole, though, I take the side of amazement."
https://people.eecs.berkeley.edu/~emmapierson/
Machine Learner by day, ๐ฆฎ Statistician at โค๏ธ
In search of statistical intuition for modern ML & simple explanations for complex things๐
Interested in the mysteries of modern ML, causality & all of stats. Opinions my own.
https://aliciacurth.github.io
Multiplying matrices @Cambridge_Uni & @MSFTResearch | PhD student in Machine Learning | Previously MSc @ucl & BSc @ucddublin
alanjeffares.com
Chief Technology Officer, Lila Sciences - Professor @ Harvard
Founding Editor NEJM AI, Co-host AI Grand Rounds ๐๏ธ, Co-founder Generate Biomedicines, Inc
Senior Research Scientist @MBZUAI. Focused on decision making under uncertainty, guided by practical problems in healthcare, reasoning, and biology.
machine learning for health at microsoft research, based in cambridge UK ๐ป she/her
Health and AI Lab at Stevens Institute of Technology. Causal inference, precision nutrition, diabetes, decision making, and health informatics. http://www.healthailab.org
Assistant Professor at UC Berkeley and UCSF.
Machine Learning and AI for Healthcare. https://alaalab.berkeley.edu/
Faculty at UC San Diego. Chief Health AI Officer at UC San Diego Health. #rstats. Creator of Tidier.jl #julialang. #GoBlue. Views own.
