About Me
Hi! I am Yvonne, a PhD student in the Mobile System Group at the University of Cambridge, supervised by Prof. Cecilia Mascolo. My research journey is generously supported by Nokia Bell Labs.
My research interests focus on building better artificial intelligence to understand, model and intervene in multimodal data (e.g., wearables or biosignals or audio) to improve health and well-being. The research projects I have been involved in, or am currently working on, include:
- Data mining: sequence data mining and time-series data modeling with real-world applications in healthcare.
- Representation learning: Learning without explicit human annotation through self-supervision tasks.
- Knowledge Transfer: Exploring domain adaptation and generalization to tackle distribution shift challenges.
News
Our paper UDAMA: Unsupervised Domain Adaptation Through Multi Discriminator Adversarial Training With Noisy Labels Improves Cardio Fitness Prediction has been accepted by Machine Learning for Healthcare 2023.
I received the travel award (by DeepMind) MLHC’23!
Contact Me
- My email address is yw573{at}cam{dot}ac{uk}.
- My full CV is here.