We aim to develop bioreactor technologies to grow Micro-Avatars of Tissue (MATs) by leveraging lessons from epithelial biology and cadherin-driven cell junctions.

We investigate cytokine roles in SLE and opportunities for projects studying their impact on autoreactive B cell survival, focusing on identified genetic variants and therapeutic targets.

We're developing PDIP, a peptide derived from PF4, to combat malaria by targeting and killing parasites inside infected cells; current efforts focus on optimizing its structure and combining it with existing drugs for enhanced efficacy.

Our goal is to harness extensive single-cell and spatial transcriptome datasets to decipher APA/AS patterns and gene expression simultaneously, expanding the scope beyond conventional single-cell expression analysis.

Generating a molecular tool that can distinguish between cancer cells and non-cancer cells by detecting specific mutations in the genome, and eliminating cancer cells very specifically, without the strong side-effects of current cancer treatments.

The aim of this project is to better understand how the bacteria defend against viral infection and how we can take advantage of the bacteria defence system to harness it as a gene editing technology.

This study aims to develop effective combination therapies using RNA Polymerase I (Pol I) inhibitors to enhance therapeutic efficacy and combat resistance in cancer treatment through synergistic effects with other drugs or treatments.

While there is no perfect model to simulate all the pathologies associated with human AMD, we use a growing number of approaches to better understand the progression of AMD and retinal degenerations in general. These models also serve to test the efficacy of novel AMD therapeutic and diagnostic pipelines.

This project advances the development of innovative machine learning models designed to unearth conserved cis-regulatory RNA structures across vertebrate genomes. This initiative includes the creation of new RNA structure 2D/3D modeling and comparative genomics methods, underpinned by robust neural network architectures.

This project focuses on understanding the role of WNT in congenital heart defects.

This study evaluates UBF (Upstream Binding Factor) as a potential target for cancer therapy by investigating its role in cancer cell growth and survival.

Exosomes are paramount to the pathogenesis of a plethora of neurodegenerative diseases but their role in retinal degenerations remains largely unknown. At the Clear Vision Research Lab we study exosomes using several miRNA-centered approaches.

A number of our research projects seek to understand how ribosomal biogenesis controls thrombopoiesis.