Dimitris Spathis (@spdimitris) 's Twitter Profile
Dimitris Spathis

@spdimitris

Research Scientist @GoogleAI and visitor @Cambridge_Uni. AI for real-world data / multimodal health & sensing. Past @Nokia @BellLabs, @Microsoft, @Telefonica.

ID: 39215770

linkhttp://dispathis.com calendar_today11-05-2009 08:16:43

129 Tweet

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Bloomberg (@business) 's Twitter Profile Photo

Exercising regularly can be hard and there's often conflicting information on the best ways to measure progress and fitness levels. But one stat that's increasingly seen as important to track is 'VO2 max' and Bloomberg Prognosis explains why.... trib.al/Tswcryv

Dimitris Spathis (@spdimitris) 's Twitter Profile Photo

Some news: after 2.5 years at Bell Labs, I’m moving on. It was a truly rewarding experience, letting me experiment with the latest in AI during a seismic shift. Huge thanks to Fahim Kawsar and the team. I've now joined Google AI where I'll be working on AI for Health and Fitness.

Dimitris Spathis (@spdimitris) 's Twitter Profile Photo

I'll be at #ICLR2025 this week in Singapore and would love to connect with researchers interested in foundation models, representation learning, multimodal pretraining, & health sensing! Feel free to catch me at any of these events or ping me here to schedule a time to chat.

I'll be at #ICLR2025 this week in Singapore and would love to connect with researchers interested in foundation models, representation learning, multimodal  pretraining, & health sensing!

Feel free to catch me at any of these events or ping me here to schedule a time to chat.
Dimitris Spathis (@spdimitris) 's Twitter Profile Photo

If you are working on AI for health×timeseries please consider submitting to our NeurIPS 2025 workshop below. The team has prepared a great lineup of speakers and topics — stay tuned for updates!

Dimitris Spathis (@spdimitris) 's Twitter Profile Photo

Proud to be part of this work! We trained a foundation model on 40M hrs of wearable data where gaps from charging, motion artifacts etc. are inevitable. Rather than imputing or discarding, it uses a new attention masking mechanism. Don't fight the messiness, embrace it!