Area of research
Molecular Biology · Computational Theory and Mathematics
Research interest
Research interests include CRISPR and Genetic Engineering, DNA Repair Mechanisms, Computational Drug Discovery Methods, and SARS-CoV-2 detection and testing.
A generative deep learning approach to de novo antibiotic design
Discovery of a structural class of antibiotics with explainable deep learning
Discovering small-molecule senolytics with deep neural networks
An engineered live biotherapeutic for the prevention of antibiotic-induced dysbiosis
Wearable materials with embedded synthetic biology sensors for biomolecule detection
Minimally instrumented SHERLOCK (miSHERLOCK) for CRISPR-based point-of-care diagnosis of SARS-CoV-2 and emerging variants
Anomalous COVID-19 tests hinder researchers
A Deep Learning Approach to Antibiotic Discovery
Ultrasensitive CRISPR-based diagnostic for field-applicable detection of <i>Plasmodium</i> species in symptomatic and asymptomatic malaria
A low-cost paper-based synthetic biology platform for analyzing gut microbiota and host biomarkers
BioBits™ Explorer: A modular synthetic biology education kit
BioBits™ Bright: A fluorescent synthetic biology education kit
Nucleic acid detection with CRISPR-Cas13a/C2c2
Rapid, Low-Cost Detection of Zika Virus Using Programmable Biomolecular Components
Portable, On-Demand Biomolecular Manufacturing
A DNA break– and phosphorylation-dependent positive feedback loop promotes immunoglobulin class-switch recombination