I currently work as a data scientist, applying statistical modeling and machine learning to real-world problems. Because this work involves proprietary data and business-sensitive information, detailed project case studies are not publicly available.
I use this site instead to explore the mathematical and statistical ideas that interest me, along with selected independent and academic projects. My explorations and way of thinking can be found in Notes.
Regression and generalized linear models
Survival analysis
Statistical inference and resampling
Supervised learning
Neural networks and representation learning
Modern language/speech models
Optimization
Regularization
Model evaluation and uncertainty
Foul Speech Pattern Finder (https://github.com/dclark202/auto-censoring)
Fine-tuned Whisper model for timestamped detection and censoring of explicit lyrics.
Predicting Survival After Bone Marrow Transplant (https://github.com/RuiboZhang98/CIBMTR_post_hct_survival/)
Cox proportional hazards and logistic regression for high-dimensional data with missing values.