Justin Lee

SPHERE enables the use of sensitive datasets in AI and open science by creating synthetic twins that preserve statistical properties and privacy.

The paper uses long-read genome sequencing and multi-omics data to identify structural variants associated with aging and neurodegenerative diseases, finding that SVs are more likely to be causal than SNVs.

This paper introduces a gene-based testing framework that improves power and reduces false positives by integrating chromatin interactions and knockoff genotypes, showing better performance in GWAS and whole-genome sequencing data.

This paper introduces a statistical method using knockoff statistics to identify causal loci in whole-genome sequencing data, showing increased discovery potential in Alzheimer's and COPD studies.