Area of research
Genetics · Modeling and Simulation
Research interest
Research interests include Evolution and Genetic Dynamics, COVID-19 epidemiological studies, Cell Image Analysis Techniques, and Mathematical and Theoretical Epidemiology and Ecology Models.
ML-enhanced peroxisome capacity enables compartmentalization of multienzyme pathway
Decoding CAR T cell phenotype using combinatorial signaling motif libraries and machine learning
A defective viral genome strategy elicits broad protective immunity against respiratory viruses
Annotation-free learning of plankton for classification and anomaly detection
A macromolecular approach to eradicate multidrug resistant bacterial infections while mitigating drug resistance onset
Quanti.us: a tool for rapid, flexible, crowd-based annotation of images
RNA Recombination Enhances Adaptability and Is Required for Virus Spread and Virulence
Costs and Benefits of Mutational Robustness in RNA Viruses