Projects

Disease Risk Prediction

Developing risk prediction frameworks for correlated data.
Ongoing @ Lin Lab

Deep learning for AD diagnosis

Integrating multiple data modalities for accurate diagnosis

Causal Inference: Genetic Sensitivity Analysis

Deducing causal GWAS variants

Latent Regression Analysis

Building a Gibbs sampler to aggregate expert insights

Bayesian NMF

Derriving a Bayesian framework for NMF and implementing a Gibbs sampler for efficient inference