I am a Postdoctoral Research Associate in Department of Computer Science, Dartmouth College, working with Prof. Andrew Campbell. Previously, I received my Ph.D. in Department of Computer Science and Technology at University of Cambridge, advised by Prof. Cecilia Mascolo.
My research lies at the intersection of multimodal AI, digital health, and mobile sensing. I develop generalizable machine learning and health foundation model approaches for multisensory time-series data, integrating signals from mobile, wearable, and physiological sensors. My goal is to build accessible, effective, and trustworthy AI systems that can support health monitoring and improve human well-being.
🔥 News
- 2025.05: Invited as the Web Chair of ACM MobiSys’26.
- 2024.10: I joined MSRA-shanghai as a intern mentored by Prof. Lili Qiu.
Publications
ICLR 2026Beyond Hearing: Learning Task-agnostic ExG Representations from Earphones via Physiology-informed Tokenization, Hyungjun Yoon, Seungjoo Lee, Yu Yvonne Wu, Xiaomeng Chen, et al. (* equal contribution)NeurIPS 2024Towards open respiratory acoustic foundation models: Pretraining and benchmarking, Yuwei Zhang, Tong Xia, Jing Han , Yu Yvonne Wu, Georgios Rizos, et al.CIKM 2024StatioCL: Contrastive Learning for Time Series via Non-Stationary and Temporal Contrast, Yu Wu, Ting Dang, Dimitris Spathis, Hong Jia, Cecilia MascoloMLHC 2023Udama: Unsupervised domain adaptation through multi-discriminator adversarial training with noisy labels improves cardio-fitness prediction, Yu Wu, Dimitris Spathis, Hong Jia, Ignacio Perez-Pozuelo, Tomas I Gonzales, Soren Brage, Nicholas Wareham, Cecilia MascoloNPJ digital medicineLongitudinal cardio-respiratory fitness prediction through wearables in free-living environments, Dimitris Spathis, Ignacio Perez-Pozuelo, Tomas I Gonzales, Yu Wu, Soren Brage, Nicholas Wareham, Cecilia Mascolo
💬 Invited Talks
- 2025.11, Towards Accessible, Effective, and Trustworthy Human-Centered Digital Healthcare System, University of Melbourne
- 2025.04, Generalizable Representation Learning for Time-Series in Mobile Health:Advancements and Applications, Singapore Management University