About
I am a Ph.D. candidate in the School of Computer Science at Carnegie Mellon University, advised by Roni Rosenfeld and Bryan Wilder. I work on machine learning for epidemiology and public health.
My interests also include interpretable machine learning, distribution shift, statistical inference, causal discovery, and graph learning.
Publications and manuscripts
Key-author publications
- Combining digital data streams and epidemic networks for real time outbreak detection
- Improving Constraint-Based Discovery with Robust Propagation and Reliable LLM Priors
- SpatialEpiBench: Benchmarking Spatial Information and Epidemic Priors in Forecasting
- Explaining Concept Shift with Interpretable Feature Attribution
- Population-Robust Feature Selection via Generalized Welfare Optimization
- Federated epidemic surveillance
- Deep-learning-based interpolation of longitudinal microbiome data powers biologically informative discovery
- Methodological Considerations in Longitudinal Analyses of Microbiome Data: A Comprehensive Review
- GESLM algorithm for detecting causal SNPs in GWAS with multiple phenotypes
Other publications
- Predicting Language Models' Success at Zero-Shot Probabilistic Prediction
- Scalable identification of lineage-specific gene regulatory networks from metacells with NetID
- Comprehensive evaluation of methods for differential expression analysis of metatranscriptomics data
- SMetABF: A rapid algorithm for Bayesian GWAS meta-analysis with a large number of studies included
- Meta-analysis on the association between rs11868035, rs823144, rs3851179 and Parkinson's disease
† Equal contribution. ‡ Equal contribution among senior authors.
Presentations
- May 2025Combining digital data streams and epidemic networks for real time outbreak detectionInsight Net · Poster
- Nov. 2024Federated Epidemic SurveillanceCalifornia Department of Public Health
- Jun. 2024Federated Epidemic SurveillanceCDC Center for Forecasting and Outbreak Analytics
- Mar. 2024Novel Deep Learning Interpolation Method for Irregularly-Sampled Longitudinal Microbiome DataIADR/AADOCR/CADR General Session and Exhibition · Poster
- Jul. 2023Federated Epidemic SurveillanceCDC Influenza Division
Honors and leadership
- China National Scholarship (top 1%), 2020 and 2021.
- Student Leader, SJTU-Software Team, International Genetically Engineered Machine Competition (iGEM), 2020; team received a Gold Medal.
Education
- Carnegie Mellon University
- Ph.D. candidate, School of Computer Science
- 2022–present
- Shanghai Jiao Tong University
- B.S., Bioinformatics and Biostatistics; Minor, Entrepreneurship
- 2018–2022