Wildlife is a reservoir for infectious agents
A natural hotspot for agents that cause infectious diseases is the wildlife. For better monitoring potential changes in wildlife that may cause potential spillover events, we have partnered up with institutions in Eastern Africa to perform field work in collecting samples and immunizing animals. Currently, we have active work being done in Rwanda and Democratic Republic of the Congo.
Samples are constantly collected and investigated to observe if there are any ongoing signals of infection in cattle, sheep, and goats. We make use of state-of-the-art technology such as Artificial Intelligence and Single Cell RNA-sequencing to perform these investigations

We are interested in drug discovery and repurposing by leveraging computational techniques to analyze biological data.
First, our pipelines facilitate the identification of potential drug targets, prediction of drug interactions, and understanding the underlying molecular mechanisms of diseases. In addition, our bioinformatics pipelines contribute to drug repurposing by exploring existing drugs for new indications based on their known biological activities.

We can use Artificial Intelligence to predict the outcome of patients
Artificial Intelligence (AI) can find hidden patterns in complex data. We have partnered up with hospitals in Ireland , Spain , and USA to obtain samples from patients undergoing dysregulated immune responses caused by infectious agents. After processing these samples in our laboratory facilities, we quantify the amount of circulatory level of proteins of interest and expression level of certain genes. AI helps us to use the collected data to come up with predictions on outcome and level of severity of patients.

We are constantly creating new tools to assist a wide range of biologists.
The need for tailored bioinformatics pipelines arises when processing biological data decreases in costs. With this in mind, our lab is constantly creating new tools to assist different professionals of the life sciences to better extract meaningful information on their data. By having an open-source development mind, all of our tools are freely accessible.