WID Postdocs expand the institute’s research portfolio and expertise, bringing new perspectives to bear on problems.
Continuous optimization for machine learning, reinforcement learning and other data science problems
Design, synthesize, and evaluate nanoparticles to deliver drugs specifically to targeted organs
Developing optimization algorithms that are both computationally and statistically efficient
CRISPR-Cas gene editing in the brain for the treatment of neurodegenerative disorders
Development and application of Machine Learning (ML) methods for the analysis of scRNA-Seq datasets
Designing practical, data-efficient algorithms with rigorous guarantees for statistical applications
To understand the activation mechanism of p300/CBP protein acetyltransferase by acyl-CoA metabolism.
Theoretical research on the emergence of life-like systems from chemical reaction networks
Relationship between genomes and their environments to predict organisms' fitness correlations.
Development of computational methods for inference and analysis of biological networks
I work to determine antibiotic resistance in bacteria by analyzing images and genomes using AI.
Integrate computational and experimental models of host-pathogen interaction in bacterial infections