RaPID
Random Projection-based IBD Detection for ultra-fast discovery of identity-by-descent segments in biobank-scale cohorts.
Software
Open tools for genome informatics and medical AI.
The lab releases methods and code that support reproducible work across genomic data science, EHR modeling, and biomedical representation learning.
Med-BERT
Contextualized embeddings and pretraining framework for structured electronic health records and disease prediction.
pytorch_ehr
PyTorch codebase for deep learning models over longitudinal electronic health record data.
Gene2vec
Distributed representation of genes based on co-expression patterns for downstream bioinformatics modeling.
HapSeq2
Methods for genotype calling and phasing in whole-genome sequencing data.
CovRNN
Deep learning framework for modeling clinical trajectories and COVID-19-related clinical outcomes from EHR data.