Making effective use of artificial intelligence

He wants to make Leipzig a world leader in the mathematical foundations of data science, develop strong research alliances, and decisively advance the use of artificial intelligence (AI): at the beginning of May, Professor Sayan Mukherjee took up his duties as Alexander von Humboldt Professor 2022 at Leipzig University and the Max Planck Institute for Mathematics in the Sciences. The mathematician, statistician and computer scientist has made decisive contributions in areas including the still young field of topological data analysis, which can be used to improve imaging procedures. Mukherjee's expertise in analysing biological data will open up new avenues in precision medicine. In this interview, he talks about his plans in Leipzig. Professor Mukherjee, you are considered one of the greatest experts in the field of topological data analysis. What exactly do you deal with? Probably the most distinctive aspect of my research has been introducing ideas from abstract mathematics to impactful methodology in data science with applications in biomedicine. My research in topological data analysis (TDA) has led to new ideas in pure mathematics; impactful, novel statistical and principled statistics / machine learning methodology; and applications in biology and medicine.