Yuwei Zhang
Hi, I am Yuwei (Evelyn) Zhang, a final-year PhD student in the Mobile Systems Research Lab at the University of Cambridge, supervised by Prof. Cecilia Mascolo. I am a member of Jesus College and a Cambridge Trust Scholar. My research is jointly supported by Nokia Corporation and Cambridge Trust. I am currently also a research intern at Apple.
My research focuses on multimodal foundation models for mobile and wearable health sensing, bridging the gap between continuous physiological sensor signals and large language models. Previously, as a MPhil student at Clare Hall, I explored uncertainty-aware federated learning for trustworthy healthcare applications.
I received my bachelor degree from the School of Computer Science at Fudan University, where I have been very fortunate to work closely with Prof. Yang Chen on social computing.
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Last update: July 2026
News
July 2026: Started a research internship at Apple !
Dec. 2025: Excited to be presenting SensorLM at NeurIPS 2025 in San Diego.
Jan. 2025: Started an internship at Google Health working on wearable foundation models and multimodal large language models.
Dec. 2024: Presented OPERA at NeurIPS 2024 and RespLLM at ML4H 2024.
Sep. 2024: Our mobile app for longitudinal respiratory health monitoring has been up in both iOS and Android, feel free to download and contribute your sounds for research!
July 2023: Finished my MPhil program with distinction and was awarded the Examiners’ Prize for a Highly Commended MPhil Project Report.
Awards
2023, Cambridge Trust Scholarship for 2023-2026.
2023, Nokia Premium Studentship for 2023-2027.
2023, Examiners’ Prize for a Highly Commended MPhil Project Report.
2023, Student Travel Award, KDD 2023.
2022, Chiang Chen Overseas Fellowship.
2021, Shanghai Scholarship.
2020, Chinese National Scholarship.
2019, Chinese National Scholarship.
2018, Freshman Admission Scholarship of Tengfei College.
Selected Publications
(# denotes co-first author)
SensorLM: Learning the Language of Wearable Sensors. Yuwei Zhang#, Kumar Ayush#, Siyuan Qiao, A. Ali Heydari, Girish Narayanswamy, Maxwell A. Xu, Ahmed A. Metwally, Shawn Xu, Jake Garrison, Xuhai Xu, Tim Althoff, Yun Liu, Pushmeet Kohli, Jiening Zhan, Mark Malhotra, Shwetak Patel, Cecilia Mascolo, Xin Liu, Daniel McDuff, Yuzhe Yang. Advances in Neural Information Processing Systems (NeurIPS 2025). [preprint | blog | code]
Towards Open Respiratory Acoustic Foundation Models: Pretraining and Benchmarking. Yuwei Zhang#, Tong Xia#, Jing Han, Yu Yvonne Wu, Georgios Rizos, Yang Liu, Mohammed Mosuily, Jagmohan Chauhan, Cecilia Mascolo. Advances in Neural Information Processing Systems (NeurIPS 2024). [preprint | webpage | blog | code]
RespLLM: Unifying Audio and Text with Multimodal LLMs for Generalized Respiratory Health Prediction. Yuwei Zhang, Tong Xia, Aaqib Saeed, Cecilia Mascolo. Machine Learning for Health, 2024, PMLR. [preprint | blog | code]
Uncertainty-Aware Personalized Federated Learning for Realistic Healthcare Applications. Yuwei Zhang, Tong Xia, Abhirup Ghosh, Cecilia Mascolo. Machine Learning for Health, 2024, PMLR. [preprint | code]
Uncertainty Quantification in Federated Learning for Heterogeneous Health Data. Yuwei Zhang, Tong Xia, Abhirup Ghosh, Cecilia Mascolo. FL4Data-Mining workshop, KDD 2023. [PDF]
Structural Hole Theory in Social Network Analysis: A Review. Zihang Lin#, Yuwei Zhang#, Qingyuan Gong, Yang Chen, Atte Oksanen, Aaron Yi Ding. IEEE Transactions on Computational Social Systems (TCSS), 2022, 9(3):724-739. [PDF]
A Human Mobility Dataset Collected via LBSLab. Yuwei Zhang, Qingyuan Gong, Yang Chen, Yu Xiao, Xin Wang, Pan Hui, and Xiaoming Fu. Data in Brief, 2023, 46:108898. [PDF | data | code]
Photos
I also love travelling, reading, movies and photography. Here are some moments from my life.
Isle of Skye
Edinburgh
Cambridge
Dali 大理
Lugu Lake 泸沽湖
Changsha 长沙
Hometown, Suzhou 苏州
Dusk
