Area of research
Molecular Biology · Biophysics
Research interest
Research interests include Single-cell and spatial transcriptomics, Cell Image Analysis Techniques, Gene expression and cancer classification, and SARS-CoV-2 detection and testing.
Simultaneous CRISPR screening and spatial transcriptomics reveal intracellular, intercellular, and functional transcriptional circuits
Convergence of coronary artery disease genes onto endothelial cell programs
Scalable, compressed phenotypic screening using pooled perturbations
Scalable genetic screening for regulatory circuits using compressed Perturb-seq
Inferring gene regulation from stochastic transcriptional variation across single cells at steady state
Mapping the convergence of genes for coronary artery disease onto endothelial cell programs
Multimodal pooled Perturb-CITE-seq screens in patient models define mechanisms of cancer immune evasion
LAMP-Seq enables sensitive, multiplexed COVID-19 diagnostics using molecular barcoding
Using viral load and epidemic dynamics to optimize pooled testing in resource-constrained settings
Compressed sensing for highly efficient imaging transcriptomics
Optimal-Transport Analysis of Single-Cell Gene Expression Identifies Developmental Trajectories in Reprogramming
High resolution time series reveals cohesive but short-lived communities in coastal plankton
Efficient Generation of Transcriptomic Profiles by Random Composite Measurements
Composite measurements and molecular compressed sensing for highly efficient transcriptomics
Systematic mapping of functional enhancer–promoter connections with CRISPR interference
Detection of low-abundance bacterial strains in metagenomic datasets by eigengenome partitioning