In this episode, we are joined by Ondra Draganov, a research mathematician at INRIA in France, who shares his 15-year academic path from Prague to Vienna and now to France. Ondra delves into his work in topological data analysis, discussing its application and relevance to various fields like biomedicine, while also exploring its conceptual complexity. The conversation wraps up with a look at the potential of generative AI in research and Ondra's personal approach to coding and utilizing libraries.

More: https://datasciencebulletin.com/dsb-podcast/dsb-podcast-9-exploring-topological-data-analysis-with-ondra-draganov/