Area of research
Molecular Biology · Immunology
Research interest
Research interests include Genomics and Chromatin Dynamics, vaccines and immunoinformatics approaches, Advanced biosensing and bioanalysis techniques, and Bioinformatics and Genomic Networks.
Machine learning model interpretations explain T cell receptor binding
Ranking reprogramming factors for cell differentiation
A pan-variant mRNA-LNP T cell vaccine protects HLA transgenic mice from mortality after infection with SARS-CoV-2 Beta
Generative modeling of single-cell time series with PRESCIENT enables prediction of cell trajectories with interventions
An expansion of the non-coding genome and its regulatory potential underlies vertebrate neuronal diversity
Discovering differential genome sequence activity with interpretable and efficient deep learning
Machine learning optimization of peptides for presentation by class II MHCs
General and cell-type-specific aspects of the motor neuron maturation transcriptional program
Ranking Reprogramming Factors for Directed Differentiation
Machine learning optimization of peptides for presentation by class II MHCs
Author Correction: Predictable and precise template-free CRISPR editing of pathogenic variants
Predictable and precise template-free CRISPR editing of pathogenic variants
Predicting gene expression in massively parallel reporter assays: A comparative study
Working toward precision medicine: Predicting phenotypes from exomes in the Critical Assessment of Genome Interpretation (CAGI) challenges
High-throughput mapping of regulatory DNA
Discovery of directional and nondirectional pioneer transcription factors by modeling DNase profile magnitude and shape
Differentiated human stem cells resemble fetal, not adult, β cells
MARIS: Method for Analyzing RNA following Intracellular Sorting
An Integrated Model of Multiple-Condition ChIP-Seq Data Reveals Predeterminants of Cdx2 Binding
A Cdx4-Sall4 Regulatory Module Controls the Transition from Mesoderm Formation to Embryonic Hematopoiesis
Mapping Neuronal Diversity One Cell at a Time