BIOGRAPHY
I am a PhD student at UC San Diego department of Computer Science and Engineering, advised by Prof. Rose Yu and Prof. Yian Ma. I received my Bachelor degree of science in Applied Math, Physics, and Computer Sciences from the University of Wisconsin-Madison in 2020. My research primarily lies in Bayesian Deep Learning, Sequential Decision Making, Scientific Machine Learning, Spatiotemporal Modeling, and AI for Public Health. The proposed approaches have been widely used in public health, traffic modeling, climate science, and drug design. For example, I designed DeepGLEAM for COVID-19 incident death forecasts. It was ranked 1st for coverage in CDC forecasting hub and featured in KPBS and Jacobs School of Engineering.
I am currently on the job market, primarily seeking tenure-track faculty or postdoctoral positions. You can view my CV here. If you believe I would be a good fit for your department, feel free to contact me at dowu at ucsd dot edu.
Publications
Experiences
- Spearheaded the uncertainty quantification study for spatiotemporal forecasting, compared Bayesian and Frequentist methods on traffic and COVID-19 predictions.
- Designed Time Series Foundation Model for Anomaly Detection.
- Designed the contextual offer estimation method to understand and model customer preferences.
- Spearheaded the causal inference study on multivariate point processes.