Area of research
Molecular Biology · Genetics
Research interest
Research interests include Gene Regulatory Network Analysis, CRISPR and Genetic Engineering, Bacterial Genetics and Biotechnology, and Microbial Metabolic Engineering and Bioproduction.
Label-free nanoscopy of cell metabolism by ultrasensitive reweighted visible stimulated Raman scattering
Cell-TRACTR: A transformer-based model for end-to-end segmentation and tracking of cells
Unique growth and morphology properties of Clade 5 Clostridioides difficile strains revealed by single-cell time-lapse microscopy
Deep model predictive control of gene expression in thousands of single cells
Light-inducible protein degradation in E. coli with the LOVdeg tag
Red Light Responsive Cre Recombinase for Bacterial Optogenetics
An optogenetic toolkit for light-inducible antibiotic resistance
Advances in linking single-cell bacterial stress response to population-level survival
Longitudinal Single‐Cell Imaging of Engineered Strains with Stimulated Raman Scattering to Characterize Heterogeneity in Fatty Acid Production
Light-inducible protein degradation in E. coli with the LOVdeg tag
Controlled Protein Activities with Viral Proteases, Antiviral Peptides, and Antiviral Drugs
DeLTA 2.0: A deep learning pipeline for quantifying single-cell spatial and temporal dynamics
Dynamic gene expression and growth underlie cell-to-cell heterogeneity in <i>Escherichia coli</i> stress response
Deep Learning Concepts and Applications for Synthetic Biology
Transcriptional Tuning of Mevalonate Pathway Enzymes to Identify the Impact on Limonene Production in <i>Escherichia coli</i>
Anticipating antibiotic resistance
Microsecond fingerprint stimulated Raman spectroscopic imaging by ultrafast tuning and spatial-spectral learning
DeLTA: Automated cell segmentation, tracking, and lineage reconstruction using deep learning
Core Competencies for Undergraduates in Bioengineering and Biomedical Engineering: Findings, Consequences, and Recommendations
Light-Inducible Recombinases for Bacterial Optogenetics
Programmable gene regulation for metabolic engineering using decoy transcription factor binding sites
Functional roles of microbial cell-to-cell heterogeneity and emerging technologies for analysis and control
Mapping the Role of AcrAB-TolC Efflux Pumps in the Evolution of Antibiotic Resistance Reveals Near-MIC Treatments Facilitate Resistance Acquisition
Distinct timescales of RNA regulators enable the construction of a genetic pulse generator
Cell-machine interfaces for characterizing gene regulatory network dynamics
Forecasting cell fate during antibiotic exposure using stochastic gene expression
Heterogeneity in efflux pump expression predisposes antibiotic-resistant cells to mutation
Mathematical Modeling of RNA-Based Architectures for Closed Loop Control of Gene Expression
Controlling and exploiting cell-to-cell variation in metabolic engineering
Antibiotic export by efflux pumps affects growth of neighboring bacteria
Using optogenetics to characterize signal propagation and control within gene regulatory networks
Optogenetic control for metabolic engineering using protein-level regulation
Optogenetic selection for dynamic phenotypes in bacteria
Transitions: Deep Learning Models for Microbial Image Analysis and Time-Series Predictions
Single-cell feedback, optogenetics, and deep learning to control gene expression in bacteria
Exploiting dynamics and cell-to-cell variation in metabolic engineering
CAREER: Tunable Dynamics from Interlinked Feedback Loops in Synthetic and Natural Gene Circuits
CAREER: Tunable Dynamics from Interlinked Feedback Loops in Synthetic and Natural Gene Circuits