Accepted to @iclr-conf.bsky.social
PaPaGei: Open Foundation Models for Optical Physiological Signals

For those working at intersection of machine learning and physiological insights in healthcare.

Credits to @arvindpillai.bsky.social, Dimitris Spathis, and Fahim Kawsar.

github.com/Nokia-Bell-L...

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...

We aim to to leverage multimodal data to create personalised, efficient, and privacy-preserving healthcare solutions.

To apply: Please write to Soumyajit Chatterjee

To work with me and our team, please apply for "Wearable Intelligence for MedTech"

To explore and develop advanced signal processing and machine learning algorithms for wearable devices, focusing on enhancing health monitoring through on-device machine learning.

Fahim Kawsar on LinkedIn: #wearables #medtech #healthtech #edgeai #mobilesystems #iot The moment has arrived once again—a call to future rockstars! If you’re someone who loves to imagine, tinker, build, and even break things in the name of…

To PhD & MSc students

Research Internship — Nokia Bell Labs, Cambridge, UK!

Three topics for summer 2025:
(1) Wearable Intelligence for MedTech
(2) Sensory Wearables for MedTech
(3) Wearable Systems for MedTech

Apply: 👇
www.linkedin.com/posts/fahimk...

💫 Job ad: Research Scientist for Healthcare with Wearables

Share with PhD candidates skilled in machine learning for time-series data, with publications in ML for wearable/mobile devices, eager to relocate to Cambridge, UK, and excited to join Bell Labs!

More details: mmalekzadeh.github.io