Mentorship

Mentored three high-schools students for the Wolfram Emerging Leaders Program . Over the course of a semester, the students worked on a project titled Analyzing and Visualizing the Human Protein–Protein Interaction Network , producing interesting and novel results. They constructed the complete human protein interaction network—comprising 11,351 nodes and 63,088 edges—by assembling individual components obtained from the Human Protein Atlas. Analysis revealed that the network is scale-free, characterized by a small number of highly connected proteins (hubs). The students identified proteins with the highest connectivity and those with high values of graph measures such as betweenness centrality, closeness centrality, and local clustering coefficient, suggesting potential roles in critical biological processes and disease mechanisms. Their exploration also examined the relationships between the protein–protein interaction network and the gene co-expression network, as well as the impact of mutations on pathogenicity and gene expression in cancer.