Our Research
Monitoring Gene Therapy Safety
One of our main focus areas is gene therapy clinical trials safety evaluation. We use advanced computational tools to assess the safety of gene therapy interventions, predicting potential risks and impact on clones fitness. Our lab is working on comprehensive analyses to characterize the effect of different gene editing techniques and gene delivery systems to study the safety of gene therapy interventions in various disease contexts.
Machine learning for Single Cell Genomics
We are dedicated to advancing methods for the analysis of single-cell genomics. Single-cell technologies are revolutionizing our understanding of cellular heterogeneity and dynamics, and our lab is developing computational methods to analyze and interpret single-cell genomics data. We aim to uncover novel insights into cellular states, interactions, and regulatory networks, providing crucial information for optimizing gene therapy strategies.
Modeling of Clonal Dynamics
Our lab is focused on modeling clonal dynamics in gene therapy. We develop statistical models and inferential procedures to estimate hematopoietic differentiation networks and study patterns of clonality evolution. Our goal is to understand the behavior of gene-modified cells in-vivo and predict their long-term fate. Our modeling efforts help us understand the clonal dynamics under various conditions, contributing to the design of effective gene therapy protocols.
