Scholar
Dimitris Spathis
Google Scholar ID: rzKYYlUAAAAJ
Google Research and University of Cambridge
Citations & Impact
Citations
2,507
H-index
24
i10-index
32
Publications
20
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- - Publications: ICLR'25, CHIL'21, WSDM'24, KDD'19, UbiComp'21, NeurIPS'21, Nature Dig. Medicine'22, Sci. Reports'22, ML4H'22, ACLw'17, WACV'24, KDD'24, JAMIA'21
- - Awards: Best Paper Award at NeurIPS’24 Workshop (🦜 PaPaGei)
- - Projects: Released multiple open-source models, such as 🦜 PaPaGei (the first open foundation model for biosignals), Large Sensor Model 2 (LSM-2), etc.
- - Media Coverage: New York Times, BBC, CNN, Guardian, Washington Post, Forbes, Financial Times, etc.
Research Experience
- - Google: Research Scientist, focusing on Consumer Health Research
- - University of Cambridge: Visiting Researcher
- - Nokia Bell Labs: Led efforts in AI for multimodal health
- - Microsoft Research, Telefonica Research, and Ocado: Work experience
- - Contributed to COVID-19 Sounds, one of the largest studies in audio AI for health
Education
- - Ph.D. in Computer Science from the University of Cambridge, supervised by Prof. Cecilia Mascolo
- - Work Experience: Senior research scientist at Nokia Bell Labs, worked at Microsoft Research, Telefonica Research, and Ocado
Background
- - Research Interests: AI for Sequential & Multimodal Data, Accessible Health Sensing, Robust & Trustworthy AI
- - Professional Field: Machine Learning, Foundation Models for Health
- - Brief Introduction: A research scientist at Google and a visiting researcher at the University of Cambridge, focusing on enabling AI to handle the messiness of the real world through data-efficient and robust machine learning.
Miscellany
- - Personal Interests: Not specified
Co-authors