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 interests are in Bayesian Deep Learning, Spatiotemporal Forecasting, and AI for Health.
Publications
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2021
medRxiv
Computational Materials Science, 2021, 197: 110560.
Computational Materials Science, 2021, 197: 110560.
Experiences
- Spearheaded the deep learning uncertainty quantification study for spatiotemporal forecasting, compared Bayesian and Frequentist methods on traffic and COVID-19 predictions.
- Created the DeepGLEAM model, which has been included in the CDC COVID-19 forecasting ensemble.
- Design a neural process model for COVID-19 predictions to enable counterfactual reasoning.
Dislocation Loop Analysis on TEM Video with Deep Learning Methods
- Created an automatic and superfast dislocation loop detection framework for TEM Video of FeCrAl alloy under in-situ ion irradiation based on the YOLOv3 network.
- Lead static property analysis for dislocation loops’ geometric information.
Awards/Honors
HDSI Ph.D. Fellowship (2021-2024), top 10 in admitted HDSI Ph.D. students
- UC San Diego (2021)
College of Letters & Science Dean’s List
- UW–Madison (2018, 2019)
Nextgen Fellowship
- Citrine Informatics Inc. (2018)
REU Program Fellowship
- NSF (2018)
Undergraduate Summer Scholarship
- UW-Madison (2018)
The First Prize in China Region and the Fourth Prize in the final
- The Third Hong Kong International Chamber Music Competition (2016)