About me

I’m a second year Ph.D. student at the National University of Singapore (NUS), where I am advised by Prof. Mengling Feng. I recently completed my Master’s degree at School of Software Engineering, Xi’an Jiaotong University. I am very fortunate to be advised by Prof. Zhao of Smiles Lab from School of Computer Science, Xi’an Jiaotong University. I was the visiting student working with Dr. Li-wei H. Lehman and Prof. Roger Mark in Institute for Medical Engineering & Science (IMES), MIT. My research interest includes Time series, Generative Modeling, Machine Learning, representation learning, Self-supervised learning and AI for Healthcare.

Feng’s CV

In my spare time, I like to spend time in the swimming pool. My current goals are to swim 1000 meters breaststroke within 24 minutes and to swim continuously for 1000 meters freestyle.

Email: wufeng@u.nus.edu / wufeng@mit.edu / Github

Research interest

1. Time Series Modeling. Mining features from multivariate time series (Self-supervised learning) and using deep learning methods (RNN, Transformer, Diffusion) for prediction of subsequent series.
2. Treatment Effect Prediction. Use causal inference models/counterfactual prediction methods to predict patient outcomes under different treatment plans.
3. Uncertainty Quantification on Treatment Effect. Develop robust deep learning models for healthcare issues, informing clinicals of the credibility of the model.
4. Diffusion Model on Clinical Sequence. Generate treatment/outcome trajectories under different scenarios using the diffusion model and provide decision-making support.
5. Foundation Model on Healthcare. Integrating EHR data to establish Foundation Models from a multimodal perspective including text and images.

Publications

* equal contribution